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Issue #396

19 July 2026

Europe Enters the Open Weights Model Race, In-house LLM Serving at Netflix, Raschka on Optimal Reasoning Models, Mozilla's State of OSS AI, Moonshot AI Kimi K3 Release + more 🚀

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#396Jul 2026Europe Enters the Open Weights Model Race, In-house LLM Serving at Netflix, Raschka on Optimal Reasoning Models, Mozilla's State of OSS AI, Moonshot AI Kimi K3 Release + more 🚀llms · mlops#395Jul 2026World Models in Gaming with Epic Games, Model's Pareto with Raschka and Databricks, META Enters the Coding Model Arena, Top 30 Papers to Read in ML, TSpaceXAI Trains Grok 4.5 from Cursor Data + more 🚀generative-ai · llms#394Jul 2026Stanford Study on Local LLMs, Snorkel's Senior SWE-Bench, Google DeepMind's Tabular Foundation Model, Performance Per Dollar Improving, CVEs Spike After Mythos Release + more 🚀ai-agents · llms · ml-security#393Jun 2026The Future of Agents with Andrew Ng, Sebastian Raschka's Local Agent Setup, Memory in the Age of Agents, PydanticAI V2 Now Released, O'Reilly Radar Trends to Watch in 2026 + more 🚀ai-agents · mlops#392Jun 2026Data Dog's State of AI Engineering, 10 Year of Clickhouse, Cornell: Advanced Compilers, DuckDB Internals and Speed, Bringing GPU Kernels to Rust + more 🚀gpu-compute#391Jun 2026Autonomous Agentic Systems, OpenAI Codex Engineering, Anthropic on Self Service Analytics, Amazon's Tabluar Foundation Models, Kimi 2.7 Code Model Release + more 🚀ai-agents · llms · mlops#390Jun 2026C++: The Documentary, Stanford Language Modeling from Scratch, Tokenomics Where Tokens are Used, LLMs Need New Routing Paradigm, NVIDIA RTX Spark Launch + more 🚀mlops · llms · ml-education#389May 2026Engineering Like It's 2007, Netflix LLM Finetuning Infra, OpenAI & Anthropic Finding Market Fit, Reviving PapersWithCode.co, Massive Open Text-To-Image Dataset + more 🚀llms · ai-agents · ml-research#388May 2026Making DL Go Brr w First Principles, Benedict Evans: AI Eats the World 2026, Gemini 3.5 Frontier Intelligence, (Sk)Forecast Foundation Models, NVIDIA' New Image/Video Model + more 🚀gpu-compute · forecasting · generative-ai#387May 2026Toto 2.0 Time Series Foundation Model, TabPFN-3 Tabular Foundation Models, Stanford SWE Real-World Dataset, DeepMind AlphaEvolve Scaling Impact, Mozilla on Mithos Vulnerabilities + more 🚀forecasting · ai-agents · ml-security#386May 2026Netflix Democratizing MLOps, Stanford AI Index Report 2026, META on ProgramBench, OpenAI on Delivering Voice AI, DeepMind Accelerating Gemma 4 + more 🚀mlops · ml-research#385May 2026Demis Hassabis: Agents & AGI, Google Cloud MCP Ecosystem, Netflix State of ML Serving, PyTorch Lightning Supply Attack, Multi-Modal Traces in MLFlow + more 🚀ml-security · ai-agents · mlops#384Apr 2026Intercom 2X'd Engineering Velocity, Qwen3.6-27B Coding, Scientific Theory for Deep Learning, META KernelEvolve Optimizes AI Infrastructure, OpenAI Releasing GPT-5.5 + more 🚀ai-agents · llms#383Apr 2026LLMs are Databases, Really, NVIDIA Optimization for Agents, Can I Run AI Locally? Yes., Kafka Guide to Distributed Messaging, What 81,000 People Want from AI + more 🚀llms · explainability#382Apr 2026Releasing KAOS v0.4.1!, Come Say Hi @ PyCon DE!, KAOS Autonomous Extension, Anthropic Tackling Security Risks, How People Use ChatGPT, Linus Torvalds Agentic Guidelines + more 🚀ai-agents · ml-security · ml-research#381Apr 2026Alibaba Releasing QWEN-3.6, Google DeepMind on TurboQuant, MIT FlowMatch & Diffusion Models, NGROK on Quantization from Scratch, Stanford Transformer Course + more 🚀mlops · generative-ai · ai-agents#380Mar 2026Agentic Engineering Practices, Recommendation System at BlueSky, Raschka's Open LLM Dream, Building a MCP Ecosystem at Pinterest, Dual Text-Forecasting Foundation Model + more 🚀ai-agents · recommender-systems · llms#379Mar 2026Scaling Karpathy AutoResearch, Mamba-3 State Space Model, META's No Language Left Behind LLM, Karpathy's No Priors Podcast, AI Redrawing Databases + more 🚀ai-agents · mlops · nlp#378Mar 2026The State of Data Agents, Agentic Engineering Quality, Scaling Python Performance, Hacking McKinsey's Platform, DuckDB Benchmarks in Macbook Neo + more 🚀ai-agents · ml-security#377Mar 2026Our new project went viral, QWEN-3.5 Challenging Sonnet, Simon Willison on Agentic Patterns, The Q, K, V Matrices, What is Entropy?, META AMD GPU Workloads + more 🚀llms · ai-agents · gpu-compute#376Mar 2026New project release!, The Pydantic AI Server, Visual Intro to PyTorch, The Good Open Source AI List, New Python Sandbox for AI, Sebastian Raschka's 8th Chapter + more 🚀ai-agents · mlops · llms#375Feb 2026New project extension!, Monitoring Multi-Agent Systems, CircleCI 2026 Delivery Report, Distributed Systems Simulation, Karpathy's 200-line MicroGPT, From Memes to Websites + more 🚀ai-agents · llms#374Feb 2026New project release!, DuckDB Agent Data Extension, State of Data Eng Report, New Tabular Foundation Model, Speeding Up LLM Inference, Gemini Deep Think 3 + more 🚀llms · ai-agents#373Feb 2026CodeMode + Graph in KAOS, Building TikTok RecSys from Scratch, RL-Aligned Ranking in RecSys, The Waymo World Model, Metaflow + Kubeflow Announcement + more 🚀ai-agents · recommender-systems · generative-ai#372Feb 2026Claude Code: It's Not Replacing Devs, OpenAI’s In-House Data Agent, DeepMind's Take on World Models, MeiTuan Bi-Lingual Image Model + more 🚀ai-agents · llms · generative-ai#371Jan 2026Releasing the KAOS Framework, OpenAI Scaling Postgres to 800m Users, FastMCP 3.0 Released, Anthropic's Original Take-home Test, 7 Deadly Sins of Eng Productivity + more 🚀ai-agents#370Jan 2026Releasing the KAOS Framework, FLUX: Interactive Visual Intelligence, Counterfactuals for RecSys, Universal Commerce Protocol, DuckDB for Everything Data + more 🚀ai-agents · generative-ai · data-engineering#369Jan 2026Databases 2025 Year in Review, Lessons from 21 Years at Google, Raschka's Big LLM Architectures, Measuring AI Ability for Long Tasks + more 🚀llms · ai-agents · data-engineering#368Jan 2026Prod ML Hits 20k Stars in Github 🚀, Sebastian Raschka LLM Year Review, Simon Willison 2025 Review, OpenRouter 100 Trillion Token Analysis + more 🚀llms · ai-agents#367Dec 2025Karpathy 2025 Year in Review, Text-to-SQL Optimization Learnings, MIT Distributed Systems, Python Data Science Handbook + more 🚀ai-agents · llms · data-engineering#366Dec 2025MLOps 2015-2035; The Past and Future, Andrew Ng AI Career Advice, 1000+ Case Studies LLMOps, Top Python Libraries in 2025 + more 🚀mlops · llms · ml-education#365Dec 2025PyTorch Hardware Acceleration in 2025, Anthropic MCP now in Linux Foundation, OpenAI Enterprise AI Report, AI Eats the World 2025 + more 🚀gpu-compute · ai-agents#364Dec 2025Raschka on DeepSeek v3.2, DeepMind Nobel Prize Documentary, The Race of DuckDB / Polars / Spark, Advent of SadServers 2025 + more 🚀llms · mlops#363Dec 2025Black Forest Labs Launches FLUX-2, Major Supply Chain Attacks, Raschka on Building an LLM, 2025 Advent of Code + more 🚀generative-ai · ml-security · llms#362Nov 2025Google Weather Forecast 2.0, META on GenAI World Models, MCP Protocol UI Extension, DuckDB's Take on the Lakehouse + more 🚀forecasting · generative-ai#361Nov 2025Stanford CS236: Deep Generative Models, Introducing the OWASP Top 10 2025, GenAI World Foundation Models, Synthetic Time Series Foundation Models + more 🚀generative-ai · ml-security · forecasting#360Nov 2025Tabular Foundation Era Begins, AI-Assisted Engineering Report, PyTorch Agent Framework (+RL), Bench for Semantic Query Engines + more 🚀llms · ai-agents#359Nov 2025DORA AI-Dev Report 2025, Chip Huyen on Lenny's Podcast, Europe's EuroLLM Launches, Learning PyTorch the Hard Way + more 🚀llms#358Oct 2025Amazon Releases Chronos-2, Robotics Foundation Models, DeepSeek OCR Released, Ray Joining Linux Foundation + more 🚀forecasting · llms · mlops#357Oct 2025Claude Skills Driving Agentic Innovation, Truths in Software that are False in AI, Karpathy on the Decade of Agents, Blameless Culture in Engineering + more 🚀ai-agents · reinforcement-learning#356Oct 2025A History of Large Language Models, Few Samples Break LLMs, Uber Michelangelo in 2025, Companies Measure AI Productivity + more 🚀llms · ml-security · mlops#355Oct 2025Andrew Ng New Stanford ML Course, Introduction to Multi-Armed Bandits, Designing Agentic Loops, Building Generative Recommendations + more 🚀ml-education · ai-agents · recommender-systems#354Sept 2025650+ GenAI Case Study Learnings, The Top Languages in 2025, MIT on the GenAI Business Divide, Leading in a Room with Experts + more 🚀llms#353Sept 2025Anthropic Outage Post-Mortem, Harvard on LLM National Bias, The State of Devs in 2025, Build Containers from Scratch + more 🚀mlops · llms · ml-education#352Sept 2025Hierarchical Reasoning Models, QWEN3 Towards Efficiency, Multi-Agents for CVE Exploits, Simon Willison Vibe Code Apps + more 🚀llms · mlops · ml-security#351Sept 2025The GPU Compute Compendium, OpenAI on LLM Hallucinations, Claude Code Tutorial From Scratch, Google on Limitation of Embedding Retrieval + more 🚀gpu-compute · llms#350Aug 2025Stanford Study on AI Automation Impact, Python: The Documentary, A Software Eng Agent in 100 Lines, Developer Productivity Metrics Reading List, SpaCy Against LLM Maximalism + more 🚀ai-agents · nlp#349Aug 2025650 Prod MLOps Case Studies, McKinsey on GenAI Minimal Value, Google DeepMind Measuring Environmental Impact, Metadata Mgmt for AI Flows, Beating Djikstra (for Sparse Graphs) + more 🚀mlops#348Aug 2025LeadDev AI Impact Report, MCP Vulnerabilities For Every Dev, Architecting Large Software Sys, Machine Learning Visualised, Best Practice for Agentic Systems + more 🚀ml-security · ai-agents · ml-education#347Aug 2025Atlassian 2025 State of DevEx, GPT-5 Attributes, Pricing + Card, Qwen Image Technical Report, Google DeepMind World Model, Raschka on Qwen 3 From Scratch + more 🚀llms · ai-agents · generative-ai#346Aug 2025StackOverflow Dev Survey, Free Databricks MLOps Course, Google DeepMind World Mapping, Multi-Generation Projects, ACM Transitions to Open Access + more 🚀mlops · llms · ml-research#345Jul 2025Reverse Eng Github's App AI, Raschka's LLM Architectures, State of Homomorphic Encryption, Ray Data, Train and Tune, Writing Toy Software to Improve + more 🚀llms · ai-agents · mlops#344Jul 2025The State of GenAI in 2025, Neural Net Operating System, Chain of Thought Monitoring, Crawling a Billion Pages, Principal Engineering at Amazon + more 🚀ai-agents · ml-education#343Jul 2025Andrew Ng on Building Faster, GetDX: Measuring AI Productivity, Coding Languages by Efficiency, Twitter Releasing Grok Model, Decreased Productivity with AI + more 🚀ai-agents · llms#342Jul 2025Microsoft AI Path to Medical Superintelligence, OpenAI Practical Guide to Agents, McKinsey's Trillion War for Data Centers, Bloom Filters by Example, The Jax ML Scaling Book + more 🚀ai-agents#341Jun 2025Internals of vLLM Inference, Databricks Unified ML Governance, A Deep Dive Into TPUs, Google MultiModal Released, LLM Transformers as Malware + more 🚀mlops · ai-policy · ml-security#340Jun 2025Karpathy on Software Evolution, Google on Securing AI Agents, Anthropic on Building AgenticSys, State of Eng Leadership 2025, Quantum Computing Lecture Notes + more 🚀ai-agents · llms#339Jun 2025Time-Blind Large Visual Models, Unified Metadata Model at Netflix, Mistral Reasoning Model Magistral, Unreasonable Effectiveness of For-Loop in GenAI, Human Quality Text-to-Speech + more 🚀ai-agents · generative-ai#338Jun 2025The State of AI Talent in 2025, Migrations with LLMs at Google, Claudfare's GenAI Development, Apple on Limitations of LLMs, Mistral Release Codestral Embed + more 🚀llms#337Jun 2025Github CEO on AI Code Race, Black Forest Labs Flux.1 Kontext, The Hidden Bloat on ML Systems, OpenAI ChatGPT Academy, Introducing Perplexity Labs + more 🚀ai-agents · generative-ai#336May 2025Datadog OSS Observability ML, Anthropic Releases Claude 4, Upgraded Climate Foundation AI, Mistral Launches Devstral OSS, Microsoft AI Red Teaming Labs + more 🚀ai-agents · llms#335May 2025OWASP Agent Name Service, OpenAI's New Software Engineer, On Complex Systems at Scale, Google on Text-to-SQL models, DeepMind on Coding Agents + more 🚀ai-agents · generative-ai · mlops#334May 2025LegoGPT: New Model on LEGO, How GenAI Sees Accents, Comparison of SotA Image GenAI, Google Measuring Tech Debt, Deep Dive into PyTorch Internals + more 🚀generative-ai · ml-research · mlops#333May 2025OpenAI's Rouge AI Model, The ML Leaderboard Illusion, When ChatGPT broke NLP, Alibaba's Qwen3 Released, Preparing for Engineering Leadership + more 🚀mlops · llms · nlp#332Apr 2025The GenAI Ecosystem in 2025, AI Code Generation for Research, Forecasting Principles & Practice, META AI Multi-Modal Architecture, Google Gemma for Consumer GPUs + more 🚀mlops · ai-agents · forecasting#331Apr 2025Open Source $8 Trillion Economic Value, Google Gemini, Wisk & Veo2, DeepSeek's Distributed File System, TikTok's LLM Reinforcement Learning, Lessons from the Best Programmers + more 🚀generative-ai · llms · reinforcement-learning#330Apr 2025Stanford AI Index Report, Google's Agent2Agent Protocol, Yann LeCun on Future of LLMs, The S in MCP is for Security, DeepMind and GenAI Competition + more 🚀ml-research · ai-agents · llms#329Apr 2025Survey on Top ML Challenges, Understanding ML Theory to Algos, The 13 Software Laws to Live By, META Released LLaMa 4, Reinforcement Learning From Scratch + more 🚀llms · reinforcement-learning · ml-education#328Mar 2025Anthropic on LLM "Biology", Architectural Patterns in Python, Tencent's New Ultra-Large Model, Improving RecSys in LLM Age, OpenAI's Image Gen Models + more 🚀llms · recommender-systems · generative-ai#327Mar 2025Tencent's Image-to-3D AI, Netflix RecSys Foundation Model, Uber's Text-to-SQL AI Systems, LLMs as Better Meme Generators, Top 100 Most Watched Python Talks + more 🚀generative-ai · recommender-systems · llms#326Mar 2025Google releases Gemma 3, Block Diffusion Challenging LLMs, Mistakes in Large Codebases, Probabilistic Artificial Intelligence, The Startup CTO's Handbook + more 🚀generative-ai#325Mar 2025Karpathy's Tips on LLMs, China's New Autonomous AI Agent, Reading Papers for Engineers, MIT Distributed Systems Course, Difussion Training in Micro-Budget + more 🚀ai-agents · llms · data-engineering#324Mar 2025WanX Text-to-Video Model, The State of ML Competitions, Chip Huyen Beyond Agent Hype, CMU Database Systems Course, TikTok's E2E LLM Stack OSS + more 🚀generative-ai · llms#323Feb 2025OWASP Agentic AI Security, Sakana AI Making CUDA Slower, Karpathy Deep Dive on LLMs, AI Code Increase Tech Debt, Bluesky Lossy Timeline / Ranking + more 🚀ai-agents · llms#322Feb 2025Microsoft on GenAI Making Us Dumb, Text to SQL: The Ultimate Guide, Perplexity Deep Research, Anthropic Economic Index, Build Your Own <Anything> + more 🚀generative-ai · ai-agents#321Feb 2025The RLHF Book, Music AI Generation & Lawsuits, Programming Changing as We Know It, New FC Foundation Model from China, Opinions from a Decade in Software + more 🚀llms#320Feb 2025International AI Safety Report, The DeepSeek Illustrated Guide, AI Engineering Pitfalls w Chip Huyen, CMU ML In Production Course, No-Hype DeepSeek Reading List + more 🚀mlops#319Jan 2025DeepSeek AI Taking by Storm, Add RecSys Engine to Your Apps, 7 Most Influential CompSci Papers, LLMOps in Prod Case Studies, OpenAI's New Browser "Operator" + more 🚀llms · data-engineering · ai-agents#318Jan 2025AI Engineer 2025 Reading List, Causal Inference meets Deep Learning, Jensen Huang NVIDIA Keynote, OpenAI’s Economic Blueprint, Papers Every Dev Must Read + more 🚀ml-research · ai-policy#317Jan 2025Chip Huyen on Agentic AI, 10y Review of Anomaly Detection, Modular SVGs with GenAI Models, Efficient Coding with LLMs, Extracting AI models from Apps + more 🚀ai-agents · llms · ml-security#316Jan 2025Databases Year in Review 2024, Crunching Data Anywhere with DuckDB, Learnings from LLMs in 2024, Evolution of SRE at Google, The Quiet Chinese AI Giant + more 🚀data-engineering · llms · mlops#315Dec 2024AI Agents to Control Computers, Best Software Engineering Papers, Alibaba's Reasoning LLM Model, Maximum Likelihood ELI5, AMD GPU Inference Optimization + more 🚀ai-agents · llms · ml-education#314Dec 2024Raschka's Top LLM Papers 2024, DeepMind on Agent Cooperation, Google's Globally Distributed DB, Gentle Intro to Graph DL, An Evolved Transformer Memory + more 🚀llms · ai-agents · data-engineering#313Dec 2024Ilya Sutskever NeurIPS Keynote, Google Releasing Gemini 2.0, Tiktok's Recommendation System, META FAIR Major Releases, OpenAI Releases Text-to-Video + more 🚀generative-ai · llms · recommender-systems#312Dec 2024The State of Responsible AI, Production LLM Usecase List, Google's 5-Day GenAI Course, DeepMind World Foundation AI, MSFT Quantifying Bad Days + more 🚀ai-ethics · llms · ml-education#311Dec 2024Number of ML Models in Prod, Building a GenAI Platform, Open Source Agentic Workflows, Over 1000 Python Videos, Advent of Code 2024 + more 🚀ai-agents#310Nov 2024MLOps Prod Best Practice, GenAI Simulating 1k Real People, Salesforce's Time Series ML, The Data Engineer Handbook, Anthropic's Responsible AI + more 🚀mlops · ai-agents · forecasting#309Nov 2024MLOps Organisational Setups, National Regulation on AI, Netflix's Time Series Infrastructure, GenAI Increasing Tech Debt, What is an AI Engineer? + more 🚀mlops · ai-policy · forecasting#308Nov 2024Tech University Munich AI Talk, Most Popular ML Training Tools, McKinsey AI Power Capacity, Superlinked on Vector Indexes, OpenAI Doubling Down Search + more 🚀mlops · data-engineering · llms#307Nov 2024Most Popular ML Training Tools, Billion Scale Time-Series Model, Vector DBs as Wrong Abstraction, Embeddings are Underrated, GPT-4o Data Poisoning + more 🚀forecasting · llms · mlops#306Oct 2024Top 3 Challenges in Prod ML, Google DeepMind Weather Forecast, PlanetScale Embeddings SQL, Google Shopping 10m Embedding, META Llama LLM Optimisation + more 🚀data-engineering · llms · mlops#305Oct 2024AirStreetCapital State of AI Report, Real Time Data Infra at Uber, Microsoft's CPU Inference ML Lib, Meta's Open AI Data & Models + more 🚀llms · mlops#304Oct 2024Building Virtual Worlds with ML, Repo of ML Monitoring Metrics, Salesforce Red Teams for AI/LLMs, Cognitive Load in Developers + more 🚀reinforcement-learning · mlops · ai-agents#303Oct 2024Meta's MovieGen Model, Ngrok's Central Data Platform, Google's NotebookLLM Podcasts, LLMs Large-Scale Annotation + more 🚀generative-ai · llms · data-engineering#302Sept 2024ML Optimization Gone Wrong, Google Measuring Dev Goals, XKCD 10y: Hard vs Impossible, GPU Puzzles For Fun & Profit + more 🚀ai-agents · gpu-compute#301Sept 2024Learnings from 100k A/B Tests, Pragmatic Machine Learning Eng, Stanford's ML System Seminars, PolaRS GPU Accel DataFrames + more 🚀mlops · gpu-compute#300Sept 2024Survey: State of Prod ML 2024, OpenAI Reasoning with LLMs, Copilot is making Devs Worse, The ML Engineering Open Book, Rise of OSS Time Series DBs + more 🚀llms · ai-agents · mlops#299Sept 2024Canva's 25B Events per Day, Uber's Kafka Tiered Storage, DB Lessons to Know for Devs, Effects of Gen AI on High Skill, Explicit is Better than Implicit + more 🚀data-engineering#298Sept 2024Raschka's 3hr Coding Workshop, Lessons on Four Years of MLOps, 150% Productive with Cursor, Time Management Techniques, Convincing PMs to Tech Debt + more 🚀llms · mlops#297Aug 2024On Being a Senior Engineer, Postgres as a Search Engine, What's Going on in ML, How Google Search Works, Good vs Bad Code Refactoring + more 🚀explainability#296Aug 2024The State of Prod ML in 2024, PyCon US Videos are Out, Pop Culture in the Age of AI, PapersWeLove in CompSci, Seeing Theory: Probability & Stats + more 🚀ml-research#295Aug 2024Salesforce's New Foundation AI, Building a Custom ML Platform, 25 CompSci Papers to Read, Lessons on AI Training, Introducing Apple Foundation AI + more 🚀llms · mlops#294Aug 2024Building A Generative AI Platform, Amazon’s Exa-Migration to Ray, 10 Years of TPUs at Google, A Visual Guide to Quantisation, Lessons of 35 Years in Software + more 🚀mlops#293Jul 2024Stackoverflow 2024 Dev Survey, Netflix's Workflow Orchestrator, META Releases LLAMA 3, Lessons from a Year of LLMs, Google's Climate Foundation AI + more 🚀llms · mlops · forecasting#292Jul 2024AI & Machine Learning Security, Goldman on GenAI Value Gap, Yoshua Bengio on AI Safety, The Future of AI in Engineering + more 🚀ml-security#291Jul 2024Building Notion's Data Lake, RouteLLM for Effective GenAI, Goldman on GenAI Value Gap, How to Interview ML Engineers + more 🚀data-engineering#290Jul 2024META's Text-to-3D-Asset Model, Sequoia on AI’s $600B Question, Uber Modernising Batch & AI Infra, Machine Learning Operations, Runway's Text-to-Video Gen v3 + more 🚀generative-ai · mlops#289Jun 2024Google Releases Gemma 2, Learnings from 900 OSS AI Tools, LLMs for Compiler Optimisation, From Baremetal to 70b Model, Lessons from 15 Years of Coding + more 🚀llms#288Jun 2024Building a Multi-Petabyte Data Platform, Chip Huyen on AI Engineering, META Multi-Modal Architecture, Google Audio Gen Model, Distributed Systems Fun & Profit + more 🚀generative-ai · data-engineering · llms#287Jun 2024Chip Huyen on AI Engineering, How META Trains LLMs at Scale, AI Search The Bitter Lesson, Uncensoring LLM Research, Apple AI Private Cloud Compute + more 🚀llms · privacy#286Jun 2024AI in Engineering at Google, The LLM Fine Tuning Index, Free Bayesian Data Analysis Book, Alibaba's Latest LLM Qwen2, Microsoft's Climate Foundation Model + more 🚀llms · ai-agents#285Jun 2024Lessons from a year of LLM Apps, Andrew Ng on Real-World GenAI, McKinsey State of AI Report, Tech Managers Anti-Patterns, Japan's Push for Open Research + more 🚀llms · ml-research#284May 2024Stanford Foundation Model Index, Diffusion Models Compendium, Continuous Delivery of AI Systems, Automated Vehicles Act UK, GenAI Red Teaming Report 2024 + more 🚀generative-ai · mlops · ai-policy#283May 2024Ways to Deploy an ML Model, xLSTM Innovation in ML, Llama3 Implemented in NumPy, META Scaling Law for RecSys, GPUs Go Brrr + more 🚀mlops · gpu-compute#282May 2024Stanford on Machine Unlearning, StackOverflow and OpenAI, Open Time Series Large Models, Scraping with AI (Prompts), The Illustrated Word2Vec + more 🚀llms · forecasting#281May 2024AI Generating Comics from Text, Stable Text-to-Motion Framework, Tesla Autopilot Training 5m+ Cars, Reading Papers for Career, Measuring Personal Growth + more 🚀generative-ai · ml-education#280Apr 2024Production ML Ecosystem 16k ⭐️, A Guide to Visual Transformers, Primer on Hacking LLM Models, Snowflake's Largest LLM, Foundational Tips for Engineers + more 🚀llms#279Apr 2024Stanford State of AI Report, Stripe Feature Store Airbnb OSS, NSA Security Framework for AI, LLMs as Effective Regressors, Llama 3 Latest META's Release + more 🚀llms · ml-security#278Apr 2024Airbnb's New OSS Feature Store, ML Books for Engineers, 300 ML Systems Design Usecases, Half Billion GPT Token Lessons, The Lifecycle of an AI Copilot + more 🚀mlops · llms#277Apr 2024Data Quality View of ML, 3Blue1Brown on AI Transformers, NLP Fundamentals Deep Dive, Cognitive Load in Software, How to Think of Eng Quality + more 🚀llms · nlp · mlops#276Mar 2024Scaling ML Infrastructure at Uber, Largest OSS LLM from Databricks, Google AI Forecasting Floods, Big Data Skills through XKCD, AI Accountability Report from NTIA + more 🚀mlops · llms · ai-policy#275Mar 2024Twitter/X Releases OSS Grok, Mamba State Space Architecture, Microsoft GenAI Online Lessons, An Intro to SQL for Scientists, Forecasting Principles & Practice + more 🚀llms · ml-education#274Mar 2024META's GenAI Infrastructure, MIT Course on Foundation Model, Amazon's FC Foundation Model, ML Engineering & Sys Design, High Quality Local AI Images + more 🚀mlops · llms · forecasting#273Mar 2024ML Competitions in 2023, How Discord Stores Trillion Msgs, 5 Lessons in 6y the Hard Way, Neural Networks Zero to Hero, 70B Param Model at Home + more 🚀llms#272Mar 2024UK AI Policy Adops Proposals, Alibaba's Realistic AI Video, Don't Mock ML (in Unit Tests), Amazon Billion Param TTS ML, Karpathy Tutorial on GPT Tokens + more 🚀ai-policy · generative-ai · llms#271Feb 2024Salesforce FC Foundation Model, Google DeepMind Gemma.cpp, Stanford Privacy in the AI Era, Graph Neural Nets at Linkedin, GPT in 60 Lines of NumPy + more 🚀forecasting · llms · ai-policy#270Feb 2024META's V-JEPA vs OpenAI Sora, The MLOps Bookshelf, Google DeepMind Gemini 1.5, Unit Tests using LLMs at Meta, Mistral-7B on an Acid Trip + more 🚀generative-ai · llms · explainability#269Feb 2024Search Engine in 80 Lines of Python, One Trillion Row Challenge, Comparing LLMs to Lawyers, Infra Decisions Endrose or Regret, AI Generated Calls Now Illegal + more 🚀mlops · ai-policy#268Feb 2024Democratising LLM Inference, Google Forecast Foundation Model, Cyber-resilience Act and OSS, Stanford's Modern Algorithms, LLaVA 1.16 OCR & Reasoning + more 🚀llms · forecasting · ai-policy#267Jan 2024MLL Sampling in Large Lang Models, UK Govt's GenAI Framework, Why Machine Learning is Hard, Hand-picked AI Fundamentals, Building a Brag-List for Success + more 🚀llms · ai-policy · ml-education#266Jan 2024MLL Forecasting & Causal Inference, Value of Open Source Software, TextToSpeech Inverting Whisper, ISO Global Standards on AI, Meta Large Scale Infrastructure + more 🚀ml-research · generative-ai · ai-policy#265Jan 2024MLL Survey of Vector Databases, Microsoft & LF on Recommenders, Stanford on LLM Hallucination, DeepMind vs Doctors Turing Test, AI in RecSys Ranking + more 🚀data-engineering · recommender-systems · llms#264Jan 2024MLL Celebrating 5 years towards 2024, Databases 2023 Year in Review, Meta's Audio2Animation AI Model, Efficient Multimodal OSS LLMs, Deep Learning on Relational DBs + more 🚀generative-ai · data-engineering · ml-research#263Dec 2023MLL Celebrating 5 years towards 2024, Real Time AI Image Generation, Deep Learning 33 years vs now, Cohere LLM Foundation Course, Habits of Great Engineers + more 🚀generative-ai · llms · mlops#262Dec 2023Machine Learning at Stanford, Don't Build a Vector Database, LLM 3D Visualisation Demo, Scaling Pinterest to Millions Users, Optimising LLMs from Datasets, Open Sour ce MLOps Tools + more 🚀llms#261Dec 2023Billion Scale Vector Search, Mozilla's MemoryCache Local AI, Deep Learning Foundations Book, Google's Machine Learning for ML, Probabilistic Data Structures + more 🚀data-engineering · ml-education · privacy#260Dec 2023Practical Deep Learning FastAI, AI Generating Triangle Meshes, Extracting Data from ChatGPT, Stable Difussion Visual Anagrams, Designing Distributed SQL Engine + more 🚀ml-security · generative-ai · ml-education#259Dec 2023The ML Engineer this week, Instacart's Prod ML Platform, AI Self-Operating Computer, Statistical vs DL Forecasting, Google DeepMind Music Model, Code is Run more than Read + more 🚀mlops · forecasting · generative-ai#258Nov 2023The ML Engineer this week, AI Policy, Principles & Guidelines, Neural Networks: Zero to Hero, Stable Difussion Video Release, Hidden Tech Debt in ML Systems, Hacking Google Bard Vulnerability + more 🚀ai-policy · llms · generative-ai#257Nov 2023The ML Engineer this week, TimeGPT: Magical Auto Forecast, tldraw; When UX and AI Intersect, Deep Learning Weather Forecast, Geneva Uni Neural Nets Course, Humans vs GPT-4 on Reasoning + more 🚀forecasting · generative-ai · llms#256Nov 2023The ML Engineer this week, Building AI Products Differently, Vector Databases Applications, Misconceptions in Engineering, Takeaways On AI Executive Order, OECD New Definition on AI + more 🚀data-engineering · ai-policy · ml-education#255Nov 2023The ML Engineer this week, ACM TPC & State of Tech Policy, Python 17,000x Faster Data, Google's ML Weather Forecast, Most Valuable Traits of Top Devs, Animated AI Neural Architectures + more 🚀ai-policy · forecasting#254Oct 2023The ML Engineer this week, Text Embeddings Visual Overview, Lessons from 20 Years at Scale, Advanced Python Mastery Course, Linkedin Managed Search Infra, Bare Min Knowledge on Unicode + more 🚀llms · mlops · ml-education#253Oct 2023The ML Engineer this week, META/FB Decoding Brain Images, Every Dev Should Know on GPUs, Reflections on AI Summit 2023, Multimodal Architecture Agents, The Startup CTO Handbook + more 🚀generative-ai · gpu-compute · llms#252Oct 2023The ML Engineer this week, Multimodality and LLMs Overview, State of AI Report for 2023, Stable Difussion from Scratch, Inverted Transformer Forecasting, Introduction to Modern Statistics + more 🚀generative-ai · forecasting · ml-education#251Oct 2023The ML Engineer this week, The State of Production ML, How Linkedin Uses Embeddings, Large Language Models in 2023, StableDiffusion XL in 298mb RAM, Picking a Vector DB in 2023 + more 🚀llms · data-engineering#250Oct 2023The ML Engineer this week, GPT-4V(ision) First Impressions, Causality for Machine Learning, Hardest Part of Building Software, Habits of Effective Engineers, CMU Deep Learning Systems + more 🚀generative-ai · ml-research#249Sept 2023MIT on Efficient Deep Learning, DALL-E 3 Text-to-Image Release, InfoQ AI, ML & Data Eng Trends, Guide to Contributing to OSS, Key Knowledge: Idempotency + more 🚀ml-research · generative-ai · llms#248Sept 2023StabilityAI's Text-to-Song Model, Dataset-Driven LLM Optimiztion, Google's MLP for Forecasting, Hallucination Detection for LLMs, Death by 1000 Microservices + more 🚀generative-ai · llms · forecasting#247Sept 2023Andrew Ng: Opportunities in AI, 10y of Forecast Reconciliation, Glassdoor’s ML Platform Registry, Advanced NLP Course w SpaCy, Privacy Nightmare on Wheels + more 🚀mlops · nlp · privacy#246Sept 2023Generative Agents & Forums, LangChain Cheat Sheet, Measuring Developer Productivity, Retrieval-Augmented Generation, Intro to Fourier Transforms + more 🚀llms#245Aug 2023Patterns for LLM-based Systems, Meta's CodeLlama Released, An Elegant Puzzle Book Notes, Hands on Train & Deploy ML, Advanced Probabilistic ML Book + more 🚀mlops · ai-agents#244Aug 2023Stanford's New NLU Course, Out-of-distribution Detection in DL, Vector Databases 4-Part Series, How is LLaMa.cpp Possible, CAP Theorem Plain English Intro + more 🚀mlops · data-engineering · nlp#243Aug 2023Stanford Course on Intro to ML, ML Models Learn vs Generalise, Building Llama from Scratch, MLFlow Tracking and MinIO, MLSecOps Kubeflow Exploration + more 🚀ml-education · explainability · llms#242Aug 2023MadeWithML MLOps Course, Instruction Tuning Llama 2, Transparency LLMs Beyond OSS, AI Music Generation from META, How Google Manages Tech Debt + more 🚀llms#241Jul 2023Building a ChatGPT Terminal UI, HuggingFace Audio ML Course, Migrations as the Fix to Tech Debt, Vision & Language to Action ML, Tutorial Estimating Causal Effects + more 🚀llms · ml-research#240Jul 2023Principles for Responsible Gen AI, ML Feature Store at DeliveryHero, Generative AI Video Editing, Meta Public Release of Llama 2, Learn Self-Attention from Scratch + more 🚀ai-ethics · mlops · generative-ai#239Jul 2023Awesome Prod ML 5y & 14k ⭐, Stackoverflow on ML Ecosystem, Poisoning LLMs to Spread Misinfo, Survey on LLM Evaluations, Keras 3.0 on JAX, PyTorch & TF + more 🚀ml-security · llms#238Jul 2023UK Government AI Regulation, Andrew Ng Generative AI Course, MLOps at Reasonable Scale, Foundation Model Transparency, Train Serve Skew in ML Models + more 🚀ai-policy · mlops · llms#237Jul 2023ML System Design Case Studies, Future of Custom Tuned LLMs, LLM App to Prod Databaricks, Facebook Ranking Explained, Python at Netflix in Production + more 🚀llms#236Jun 2023The State of Production ML 2023, Economic Potential of Gen AI, Playing with Steamlit & LLMs, MITRE ML Security Mitigations, A/B Testing Problems & Learnings + more 🚀mlops · generative-ai · ml-security#235Jun 2023Machine Learning Security at NeurIPS, Google's Secure AI Framework, AI Fairness Across Linkedin, META's AI Music Generation, How Google Manages Tech Debt + more 🚀ml-security · ai-ethics · generative-ai#234Jun 2023OWASP Top 10 for Generative AI, Architectural Tech Debt Costs, Harvard's Intro to AI with Python, MLOps at Reasonable Scale, Securing AI Systems Series + more 🚀ml-security · mlops · ml-education#233Jun 2023Deep Learning GenAI Courses, Industral Transformer Forecasting, Ride Sharing App From Scratch, Writing LLM-Powered Applications, Programmer Interrupted Cost + more 🚀llms · ai-agents#232May 2023Water Footprint of Deep Learning, Karpathy on the State of GPT, 2023 State of AI from Databricks, Lessons Creating a GPT4 Plugin, Andrew Ng Next on 10 Years of AI + more 🚀llms#231May 2023Interactive AI GAN Image Editing, O'Reilly Trends to Watch 2023, U.S AI Policy Turning Point, Developer Experience Framework, Battle of Large Language Models + more 🚀generative-ai · ai-policy · llms#230May 2023The MLOps Fundamentals Guide, AI Prompt Injection Explained, Binance Real Time ML for Fraud, Scaling Prime Video Infrastructure, CMU Database Group Youtube + more 🚀mlops · ml-security#229May 2023LLM Applications for Production, AI Generating Music from Text, The Little Book of Deep Learning, Google Leaked Memo on OSS AI, New AI Programming Language + more 🚀llms · generative-ai · ml-education#228Apr 2023Call to Protect OSS AI in EU, Large Language Models Survey, Growth of AI Through Cloud Lens, Free LangChain Course Online, Neural Nets from Scratch in Zig + more 🚀ai-policy · llms#227Apr 2023MIT Course Foundation Models, The MLOps Bookshelf Collection, Curated Set of Key LLM Papers, AI Practical Codebase Analysis, RocksDB Under The Hood + more 🚀llms · mlops#226Apr 2023The Actually Open AI Chat-GPT, Building the Future with LLMs, Evolution of RecSys Architectures, Google's Responsible AI Agenda, ChatGPT Productivity Hacks + more 🚀llms · recommender-systems · ai-policy#225Apr 2023Stanford's AI Index Report 2023, FastAI New Advanced ML Course, Top ML Papers to Read in 2023, OpenAI Approach to AI Safety, Facebook's MLOps Ecosystem + more 🚀mlops · ai-policy · ml-education#224Apr 2023Facebook's MLOps Ecosystem, Twitter OSS Recommender Algo, Large Language Models MLOps, GPT-4-ALL Access with LLaMa, Finance GenAI w BloombergGPT + more 🚀mlops · llms · recommender-systems#223Mar 2023ChatGPT Internals and Interface, Training ML Across 1000 GPUs, Early Experiments with GPT4, The AI-Powered Dev Experience, Google ML Crashcourse w TF + more 🚀llms · ml-education#222Mar 2023Language Models ArXiv Paper, Discord's Trillions of Messages, LLM Prompt Engineering Guide, Fully OSS Alternative to ChatGPT, Airflow and Great Expectations + more 🚀llms · data-engineering#221Mar 2023LLM Stable Diffussion Moment, The Utility DataFlow Computing, Postgres Architecture Explained, Cost of Architectural Complexity, Migrating from Flask to FastAPI + more 🚀llms#220Mar 2023Large Language & Image Models, Real World ML Systems Survey, Coinbase High-Perf Data Series, NVIDIA OSS RecSys Ecosystem, 20 Lessons in 20 Years of Dev + more 🚀recommender-systems#219Feb 2023NeurIPS 2022 Production ML Videos, MIT Intro to Data-Centric ML, ML Innovation at Spotify with Ray + more 🚀ml-security · mlops#218Feb 2023Incredible PyTorch Ecosystem, Large Scale RecSys Architectures, Technology Trends 2023 February, Flask to FastAPI Migration Series, The ArXiv of ChatGPT Failures + more 🚀recommender-systems · llms#217Feb 2023Awesome Production ML OSS, Tech Behind Github Code Search, Preparing for the Europe AI Act, Rise of Enterprise AI Leadership, React.js The Documentary + more 🚀ml-security · ai-policy#216Feb 2023GitHub CEO on Europe & AI Act, Google's AI Text-Video Editing, Data Version Control AI Course, Andrew Ng on Data Centric AI, Monitoring at Scale Prom Tutorial + more 🚀ai-policy · generative-ai · mlops#215Jan 2023AI-Assisted Programming Costs, Text-to-basically-any-sound-effect, The Illustrated Stable Diffussion, Transformer Models Introduction, SQLAlchemy 2.0 Release Post + more 🚀generative-ai · llms#214Jan 2023Karpathy Building 0->1 ChatGPT, Raschka on Model Eval/Selection, Deep Learning Tuning Playbook, Hidden Tech Debt in Prod ML, Working with Golang and SQL + more 🚀llms · mlops#213Jan 2023Doordash from Heuristic to ML, Big Data w P(X) Data Structures, ML Papers Explained, Myths and Legends in HPC, Talking AI with AI from Greylock + more 🚀mlops · ml-research#212Jan 2023Production MLOps at Ubisoft, Measuring an Engineering Org, 2022-2023 Reviews & Predictions, Reinforcement Learning Summary, FastAPI Framework Best Practice + more 🚀mlops · reinforcement-learning#211Jan 2023Check out our new Awesome 2022-2023 Year-In-Review & Tech Predictions List 🚀, 2022-2023 Reviews & Predictions, Algos & Data Structures to Try, Day-1 Decisions Make or Break, Math for Computer Science & ML, Which AI Explanation to Choose + more 🚀explainability · ml-education#210Dec 2022The History of AI & Deep Learning, Trends and Insights from Github, AI Generation Text to 3D Models, ForwardForward Algorithm Insight, The T-Shaped MLOps Engineer + more 🚀mlops#209Dec 2022OSS Insights at Scale with TiDB, O'Reilly Trends December 2022, Stanford ML Systems Design, Linux Foundation 2022 Report, Statistical vs DL Forecasting + more 🚀data-engineering · forecasting#208Dec 2022NeurIPS Workshop Keynote Vid, How Production ML Breaks, The Illustrated Stable Diffusion, The McKinsey State of AI Report, Anomaly Detection Benchmark + more 🚀generative-ai · mlops · forecasting#207Dec 2022NeurIPS on Prod ML Challenges, ChatGPT Continues to Surprise, Advent of Code Skill Polishing, Binance MLOps Architecture, PyTorch 2.0 Has Been Released + more 🚀mlops#206Nov 2022PyData Global 2022 Coming Up, Algorithmic Responsibility Panel, Securing ML Algorithms in EU, Large Language Models Review, SICP Key CompSci Foundation + more 🚀llms · ml-security · ai-policy#205Nov 2022The Complete Guide to NLP, Galactica The Scientific LLM, Thoughts on ML Engineering, Monzo on Argo Rollouts at Scale, NeurIPS on Prod ML Challenges + more 🚀nlp · llms · mlops#204Nov 2022Metadata In End To End MLOps, NeurIPS on Prod ML Challenges, The Modern Startup Architecture, TikTok SotA Recommender Sys, The Stream Processing Index + more 🚀mlops · ml-security · recommender-systems#203Nov 2022Kubernetes AI Keynote & Videos, Metadata for End to End MLOps, Tech Trends to Watch Nov 2022, Andrej Karpathy NN Zero to Hero, Maths for CompSci & ML Book + more 🚀mlops#202Oct 2022ACM US & Europe AI Principles, Prometheus The Documentary, Healthcare Causal Inference ML, Bias Bounty on Algorithmic Bias, Designing Data Product Canvas + more 🚀ai-ethics · mlops · ml-research#201Oct 2022Kubernetes AI Opening Keynote, Data Mesh Architecture Definition, NVIDIA Optimizing Data Collect, Growing Metadata Mgmt Systems, Data Product Management + more 🚀data-engineering · ai-policy#200Oct 2022The State of AI Report is Out, Kubernetes AI Day North America, Bert, LSTMs & Toxic Detection, Stripe with Migrations at Scale, OpenAI Introducing Whisper + more 🚀nlp#199Oct 2022AI Infrastructure Landscape, RecSys Recap & Best Papers, DoorDash Recommendations, Google Cloud Architecture Centre, AlphaTensor Matrix Multiplication + more 🚀mlops · recommender-systems · ml-research#198Oct 2022Pro-Innovation AI Regulation, Full Stack Deep Learning Course, Netflix on Large Scale RecSys, Meta New Text-to-Video Model, The Vector Database Index + more 🚀ai-policy · mlops · recommender-systems#197Sept 2022Instacart Real Time ML Journey, Operationalising ML Survey, Automate with Python in K8s, Building NoSQL from Scratch, Green Programming Languages + more 🚀data-engineering#196Sept 2022PyTorch Joins Linux Foundation, Deploy & Monitor ML at NeurIPS, Trends to Watch September, ML Algorithms from Scratch, Curated List of Awful AI Cases + more 🚀ai-ethics · ml-education#195Sept 2022Best Practices for ML Engineering, NCSC Principles for ML Security, Practical OCR with PaddleOCR, Large Scale RecSys at Alibaba, PapersWithCode Annual Trends + more 🚀mlops · ml-security · recommender-systems#194Sept 2022Secure Machine Learning Talk, Stable Diffusion Public Release, Popular NLP Projects 2022, CompSci Papers We Love, Code Performance Speed Limits + more 🚀ml-security · generative-ai · nlp#193Aug 2022Deploying ML at NeurIPS 2022, Scaling AI Education at Uber, Scale System Design Knowledge, Open Source Ecosystem at Wolt, Confidential Computing in ML + more 🚀ml-education · ai-ethics#192Aug 2022Data Quality Mgmt at Linkedin, Design Patterns in ML Systems, Debt in ML Maintenance at Scale, Data-Oriented Design in Software, Data Visualisation in Python + more 🚀mlops#191Aug 2022O'Reilly Radar Trends to Watch, Advanced ML Model Monitoring, Building Prod MLOps Pipelines, Building a Two-Layered RecSys, SciPy 2022 Conference Videos + more 🚀mlops · recommender-systems#190Aug 2022FastAI Practical ML Course, Golang Based ML Framework, JuliaCon Recordings Released, MLSecOps Top 10 Vulnerabilities, Building Containers From Scratch + more 🚀ml-education · mlops · ml-security#189Jul 2022MLSecOps Top 10 Vulnerabilities, Uber's Data Workflows at Scale, Implementing Research Papers, DeepMind AlphaFold Universe, Statistical ML Summer School + more 🚀ml-security · mlops · ml-research#188Jul 2022Uber's OLAP Infra at Scale, Netflix Scaling with GraphQL, Scaling Microservices at Lyft, Data Annotation & Synthetic Gen, NVIDIA on Practical Art with AI + more 🚀data-engineering · generative-ai#187Jul 2022MLOps Meetup Driverless & E2e, Stitchfix and their MLOps Platform, AI Infra Ecosystem Report 2022, Stanford Transformers Course, Practical Guide to A/B Testing + more 🚀mlops · llms#186Jul 2022MLOps Definition & Architecture, When Language Models Too Big, No Language Left Behind LLM, Software Dev Lifecycle Evolution, Lessons From Chaos Monkey + more 🚀mlops · llms · nlp#185Jul 2022Free Open Source MLOps Course, MLOps Taxonomy & Methodology, ML Tracking & Experiment Tools, Shipping To Production Principles, Reverse Interview Candidate Tips + more 🚀mlops#184Jun 2022Andrew Ng New ML Course, MLOps Open Source Course, Deep Learning RecSys Survey, Effective Software Testing Guide, Stackoverflow Developer Survey + more 🚀ml-education#183Jun 2022Reproducible Deep Learning, Trends to Watch in June 2022, Embedding Search at Faceboook, Fallacies of Distributed Systems, Github Malware Store Database + more 🚀mlops · llms · data-engineering#182Jun 2022High Performance ML at Scale, Orchestrating ML Applications, Kafka Streaming Patterns for ML, The Go Programming Language, The SPACE of Dev Productivity + more 🚀ai-agents#181Jun 2022ML ∪ Security ∪ DevOps, Machine Learning Trends to Know, Observability Trends & AIOps, Featurestore Types for ML & Data, Data Science and Storytelling + more 🚀mlops#180May 2022Netflix end-to-end MLOps System, Pick&Choose MyMLOps Stack, How to Avoid Pitfalls of MLOps, Google Brain's Imagen Model, Airbnb Recommender Systems + more 🚀mlops · generative-ai · recommender-systems#179May 2022PyCon Machine Learning Security, Approaching (Almost) all ML Book, Airbnb's Microservice Architecture, Image Outlier Detection Tutorial, The HackerNews Algo Internals + more 🚀ml-security · forecasting#178May 2022Enterprise Declarative ML System, Alibaba Scale Recommenders, DeepMind's Generalist Agent, Product Success DS Guide, Transformers from Scratch + more 🚀mlops · recommender-systems · ai-agents#177May 2022MLOps London Meetup May, End-to-end Open Source MLOps, Machine Learning at Discord, Faceboook's 175B Model Release, Running Kubernetes in Production + more 🚀mlops · llms#176May 2022Monzo's Machine Learning Stack, Real World RecSys that Scales, MLOps London Meetup May, Human-Centric MLOps in K8s, Rethink interviews for Great Devs + more 🚀mlops · recommender-systems#175Apr 2022Production ML and Security: MLSecOps, MLOps in Food Delivery at Wolt, OpenAI Davinci Building Games, AI in 2021 GitLab DevOps Survey, C is Not a Language Anymore + more 🚀mlops · ai-agents#174Apr 2022Spotify Semantic AI for Podcasts, Microsoft on Data Drift at Scale, ZenML E2E Deployment Seldon, Borg, Omega and Kubernetes, The Annual 2022 AI Index + more 🚀mlops#173Apr 2022Linkedin's Explainable AI RecSys, Google's AI Autogen Summary, OpenAI's Text to Image Model, Wisdom from 50+ Years of Code, Continuous Intelligence at Scale + more 🚀explainability · generative-ai · mlops#172Apr 2022Secure ML with MLSecOps, The State of Data Engineering, Doordash Declarative Fabricator, Google Brain Distributed Flow ML, Hashicorp from CEO to Tech IC + more 🚀mlops · ml-security · data-engineering#171Mar 2022Machine Learning Youtube List, Data Management Trends 2022, Ultimate Guide to Text Similarity, OpenTelemetry and Python, Lessons Learned from 10y OSS + more 🚀ml-education · mlops · llms#170Mar 2022MLOps Virtual & Online Talks, Karpathy's Deep Learning Retro, Stanford 2022 AI Index Report, Microsoft ML Microservice Scale, Kubernetes the Hard Way Course + more 🚀mlops · ml-research#169Mar 2022The Future of AI Infrastructure, Radar Trends to Watch March, Cloud Resources for DL Training, Google NLP Model for Everything, Cloud Security Themes for 2022 + more 🚀mlops · llms · ml-security#168Mar 2022Kompute Promoted to Incubation, Modern C++ Computer Vision, Another Road to MLOps Mastery, Extending Kubernetes for MLOps, Airflow Unbundling ETL at Scale + more 🚀mlops · gpu-compute#167Feb 2022ML Monitoring with Outliers & Drift, Netflix Infra Systems Design, Building Infrastructure Platforms, Uber Orbit Bayesian ML Platform, The State of ML in JuliaLang + more 🚀mlops#166Feb 2022Data Scientists and Kubernetes, Cross Vendor GPU Acceleration, Open Python ML Inference Server, Building ML Infra at Netflix, Interpretable Machine Learning + more 🚀mlops · gpu-compute · explainability#165Feb 2022Evolution of AI Ethics Meetup, Distribution Shifts and Monitoring, O'Reilly Radar Trends Feb 2022, Overview of MLOps Definition, Millions of Messages with Kafka + more 🚀mlops · data-engineering · ai-ethics#164Feb 2022DeepMind AI Dev AlphaCode, Databases 2022 Year in Review, Evolving Notebook Infra at Twitter, Doordash Feature Eng System, O'Reilly on Causal Inference + more 🚀mlops · ai-agents · ml-research#163Jan 2022CI/CD for Prod ML at Scale Event, Machine Learning at Discord, Kubernetes the Documentary Pt.2, Open Source MLOps E2e Stacks, ML Algorithms Cheat Sheet + more 🚀mlops#162Jan 2022MLOps Meetup Online this Week, Architecture Series for MLOps, Testing Approach in Data Science, A Gentle Intro to Shapley Values, Kubernetes the Documentary + more 🚀mlops · explainability#161Jan 2022Principles for Responsible AI, Google Research ML Themes, Introduction to Explainable ML, ML Architectures from Industry, Validation & Testing of ML Models + more 🚀ai-ethics · explainability#160Jan 2022MLOps Free University Course, AI & Data Trends for 2022, How to Evaluate MLOps Tools, The State of Graph ML in 2022, Deep Learning Interview Prep + more 🚀mlops · ml-education#159Jan 2022We wish a HAPPY NEW YEAR to all MLE Newsletter subscribers!! 🎉🎇🎁🎊🎈⛄❄🥳, A Year Full of Amazing AI Papers, Model Monitoring Areas Overview, Data Science for Infrastructure, Master Dataclasses in Python, Graph Neural Networks Overview + more 🚀ml-research · mlops#158Dec 2021We wish happy holidays to all our MLE Newsletter subscribers!! 🎉🎇🎁🎊🎈⛄❄🥳, Prod ML Monitoring Deep Dive, Data & AI Platforms at Shopify, Evolution of the Canonical Stack, Must Read Books in MLOps 2022, 2022 AI Predictions from Experts + more 🚀mlops#157Dec 2021Call to Build Models like OSS, Cross-Vendor GPGPU at CppCon, The 18 Highest Paying Dev Roles, Making Language Models Smart, Scaling Teams Parallel Systems + more 🚀mlops · gpu-compute · llms#156Dec 2021Video for NeurIPS 2021 is Out!, Twitter Processing Billion Events, Avoiding Data Disasters Example, NLP and AI in Financial Services, 26-Week Data Science Course + more 🚀data-engineering · mlops · nlp#155Dec 2021NeurIPS LXAI Opening Keynote, Machine Learning Advent of Code, Open MLOps End to End Tech, Kubernetes Introduction Course, O'Reilly Radar Trends December + more 🚀mlops · ai-ethics#154Nov 2021NeurIPS LXAI Opening Keynote, Reddit Production ML Architecture, State of Privacy Preserving ML, Organisational Data Challenges, Dynamic AI Learning Mind Map + more 🚀privacy · ai-ethics#153Nov 2021O'Reilly Radar Trends to Watch, Thoughtworks MLOps Platforms, MLOps Anti-Paterns & Lessons, Containers from the Bottom Up + more 🚀mlops · ml-education · ml-research#152Nov 2021MLOps LDN November Meetup, Scalable Explainable NLP Search, KubeCon North America 2021, AI begins with Data Quality, Reflections 10k hrs Programming + more 🚀mlops · explainability#151Nov 2021NeurIPS LX Workshop Keynotes, HuggingFace Online NLP Course, Neural Network for Chess Engine, SpaCy vs NLTK. Normalization, The State of AI-Generated Code + more 🚀nlp · ml-education#150Oct 2021MLOps and Devops around Data, The Guide to GitOps Architecture, Case Study for Ethics in AI/ML, Large Scale ML Multi-Modal Data, ML Monitoring at EuroPython + more 🚀mlops · ai-ethics#149Oct 2021NeurIPS Practical Responsible AI, Github on Deploying ML Safely, The State of AI Report 2021, Shopify on Building ML Models, 20 Lessons Across 20 Years + more 🚀ai-policy · mlops · ml-education#148Oct 2021Linkedin's Approach to XAI, Prod ML Resources Curated List, Top Places to Work for ML, ML, AI & Data Landscape (MAD), Training System for Industry Scale + more 🚀explainability#147Oct 2021Real Time Fraud Detection at ING, Practical AI Ethics from MLOps, Federated Learning Research, The Road to Intelligent RPA, Technical Debt Opinion Survey + more 🚀ai-ethics · privacy#146Oct 2021GPT2 with ONNX, Triton & Tempo, 2021 Data/AI Salary Survey, An Intuitive Deep Dive on Drift, A Gentle Introduction to MLOps, Julia Multi-Dispatch Effectiveness + more 🚀mlops#145Sept 2021MLOps LDN Online & In-Person, First GPU Acceleration Kompute, ICML 2021 Videos & Slides, Graph Database Ecosystem, Kubernetes Operators Made Easy + more 🚀mlops · data-engineering#144Sept 2021Kompute v0.8.0 Now Released, ML and High Interest Tech Debt, Gentle Intro to Graph Neural Nets, Educational ML with EpyNN, Adoption of GraphQL at Paypal + more 🚀gpu-compute · ml-research · ml-education#143Sept 2021Machine Learning EngSci Book, Graph Deep Learning Overview, Massively Scaling ML Training, FAANG Interview Prep Repository, Awesome Kubernetes Lists + more 🚀ml-education · ml-research · gpu-compute#142Sept 2021Principles for Digital Citizenship, Stories from ML Practitioners, Drift Without Labelled Data, Software Design & Data Scientists, Data Quality Unpacked + more 🚀ai-ethics · mlops#141Aug 2021Kompute Joins Linux Foundation, MLOps London Meetup Kickoff, Feature Stores Demystified, Data Science Efficient Python, Auditing ML for Compliance Risk + more 🚀gpu-compute · mlops · ai-ethics#140Aug 2021CompSci Favourite Papers, AI & Data Trends to Watch, Language Model Learnings, Trending Open Source MLOps, TorchServe Model Optimization + more 🚀mlops · explainability#139Aug 2021StackOverflow 2021 Dev Survey, Alibi for ML Explainability, Data Science Role Evolution, CPU Transformer Optimization, Open End-to-end MLOps Platform + more 🚀explainability · llms · mlops#138Aug 2021EU AI Regulation Consultation, Declarative ML Systems, MLOps Event with Andrew Ng, MLOps Feature Stores Review, An Intro to Statistical Learning + more 🚀ai-policy · mlops#137Jul 2021Uber Distributed Computing AI, Building Robust ML Workflows, Bjarne on Future of Programming, Papers with Code Highlights, A Base ML Project Starter + more 🚀gpu-compute · mlops#136Jul 2021A Time Series DB from Scratch, Best of Speed & Simpl. w Julia, Towards Next Gen Dataflow, The Future of Deep Learning, Privacy & Cybersecurity Merging + more 🚀ml-security#135Jul 2021Drift Detection: An Introduction, The HashiCorp OpenCore Story, Guide to Onboarding Developers, Neural Net in Julia from Scratch, Exploiting Security in ML Binaries + more 🚀mlops · ml-security · gpu-compute#134Jul 2021From ML Model to Microservice, HuggingFace Founder on MLOps, How to NOT Measure Latency, MIT Deep Learning Intro Course, Data Mesh Design & Architecture + more 🚀mlops · ml-education#133Jul 2021Pitfalls of Causal Inference in XAI, 7 Layers of MLOps Security, Growing Large Language Models, Automated Data Wrangling, Clever vs Insightful Code + more 🚀explainability · mlops · llms#132Jun 2021Machine Learning Interview Prep, ML Data Structures with Pydantic, Applied NLP Thinking Solutions, Disasters in a Microservice World, A Day in the Life of a Senior Dev + more 🚀ml-education · mlops · nlp#131Jun 2021HuggingFace Online Course 🤗, TWIML’s AI Solutions Guide, The Top Trends in Tech Report, Going Full Circle with Kafka, Introduction to Vector Databases + more 🚀llms · mlops · data-engineering#130Jun 2021All-Things-Python at Netflix, Monitoring ML Systems Course, AI Risk and Liability in Industry, Kubernetes Learning from Scratch, What is Your ML Model Hiding + more 🚀mlops · ai-policy · explainability#129Jun 2021GitOps Demystified in Practice, Robust ML Monitoring Overview, DeepCheapFakes and Impact, Detecting & Mitigating Ethical Risk, Biases in AI Systems Taxonomy + more 🚀mlops · ai-ethics#128May 2021Key AI Research Labs In Europe, Responsible AI at Linkedin, Lessons from Netflix, Spotify, etc., Twitter on Elastic + Neural Nets, Three ML Roles in Organisations + more 🚀ai-ethics · mlops · ml-research#127May 2021Get started with MLOps, Building Drift Monitoring System, Better Abstractions in Prod ML, Start Guide to Anomaly Detection, Revisiting Dev Design Patterns + more 🚀mlops · forecasting#126May 2021Kubernetes AI & ML Day Talks, ML Cards for MLOps Governance, MLOps & Differences to DevOps, AI Usecases Beyond Automation, Andrew Ng Courses on MLOps + more 🚀mlops · ai-policy · ai-ethics#125May 2021AI Adoption in Enterprise 2021, State of Data Engineering in 2021, Choosing Best E2E MLOps Tools, Python Beg. to Adv. Resources, Importance of Reliable Metadata + more 🚀mlops · data-engineering · ml-education#124May 2021Automated ML Eval at Scale, Tech Capabilities for MLOps, Selecting ML Feature Eng Method, Eng Best Practices in Data Gov, The NLP Index with 3000+ Repos + more 🚀ml-research · mlops · ai-policy#123Apr 2021Real time Data Infra at Uber, CERN on Scaling 600 Clusters, OpenAI Powered Linux Shell, DevSecOps for Machine Learning, Python 3.10 Feature Highlights + more 🚀data-engineering · llms · mlops#122Apr 2021Exploiting Security ML Pickles, Free AutoML Online Course, Neural Networks in Minecraft, ML Deployment Online Course, Defining DataOps and MLOps + more 🚀ml-security · mlops · ml-research#121Apr 2021MIT Deep Learning Life Sciences, Build Your Voice Cloning App, Data Quality in AI Products, Deep Learning for Cancer Dataset, New Sklearn Features Overview + more 🚀mlops · ml-education#120Apr 2021Machine Learning in Healthcare, CPU Architecture Golden Age, Growing Importance of Metadata, Data Quality at Airbnb + more 🚀mlops#119Mar 2021Andrew Ng deep dive on MLOps, ML & DL Online Courses, Playbook for Model Monitoring, Building a Database from Scratch, Continuous Retraining Strategy + more 🚀mlops · ml-education#118Mar 2021Visualizing Timeliness at Airbnb, Video Calls on Steroids w NVIDIA, Break a Prod Model in 20 Days, The Annual 2021 AI Index, The Next Generation of AI + more 🚀mlops · ai-ethics#117Mar 2021Starcraft AI Programming Tutorial, The Netflix Cosmos Platform, Scaling ETL Workers with K8s, Production ML at Booking.com, Kaggle Tricks & Best Practices + more 🚀reinforcement-learning · mlops#116Mar 2021Scaling Linkedin Experiments, The Rise of Metadata Systems, Data Version Control 2.0 Release, The Graph Neural Net Repository, The Python SpeedSheet Docs + more 🚀ml-research#115Feb 2021Towards Simple Trustworthy AI, Python Developers Survey 2020, SpaCy 3.0 Launch Highlights, Neural Massive Online Multiplayer, Teaching Cars to See at Scale + more 🚀nlp · ai-agents · explainability#114Feb 2021Gen Z and Artificial Intelligence, Security in Prod ML Systems, How To Do All in Computer Vision, Medicine's ML Problem, Top 50 Matplotlib Visualisations + more 🚀ml-security · ai-ethics · computer-vision#113Feb 2021Linux Foundation AI Principles, Beyond CUDA Python in GPU, Building a Chess AI Engine, Data in Healthcare & Life Science, ML Reliability Engineering + more 🚀gpu-compute · ai-ethics · mlops#112Feb 2021Misinformation: Tech & Solutions, Metadata Management Systems, Papers With Code Datasets, AI & ML Platforms in 2021, AI Regulatory Proposals + more 🚀ai-policy · mlops#111Jan 2021Top 2020 ML Notebooks, Massive Scale Kubernetes for AI, Tech in 2020 Data Science, Architecture of ML Systems, State of AI Ethics Report 2021 + more 🚀mlops · ai-ethics#110Jan 2021Entire CS Curriculum in Youtube, From MLOps to MLOops, 2020's Top ML Papers, Python Data Science Startups, The "Simplest" NumPy Course + more 🚀ml-education · ai-ethics · ml-research#109Jan 2021Production ML Monitoring at SF, 100+ Free (& OSS) Dev Books, The geopolitics of AI & ML, Building Decent Software Startup, Uber’s Real-Time Push Platform + more 🚀mlops · data-engineering#108Jan 2021Harvard Introduction to CompSci, ML & DL Compendium 2017-2020, NYU Deep Learning with PyTorch, Python & Jupyter in Excel (Yep), Learning NLP the Practical Way + more 🚀ml-education · nlp · ml-research#107Jan 2021Year Review Papers with Code, Machine Learning going Realtime, An eXplainability toolbox for ML, Simplifying Outlier Detection, Public Engineering Career Ladder + more 🚀explainability · forecasting · ml-research#106Dec 2020We wish happy holidays to all our MLE Newsletter subscribers!!, Top 10 Python Libraries of 2020, 2020 Curated List of AI Research, NumPy Deep Dive Illustrated, Metadata Journey at PayPal, Interactive C++ for Data Science + more 🚀ml-research · data-engineering#105Dec 2020Navigating Resposible AI, The NLP Pytorch Tutorial, Research at Microsoft in 2020, Gentle Intro to Concept Drift, Uber on Data Workflows at Scale + more 🚀ai-ethics · nlp · data-engineering#104Dec 2020End-to-end Production ML Monitoring, Metadata Architectures Explained, Applied ML in Production, State of AI Ethics Panel, FOSDEM 2021 CFP HPC & ML + more 🚀mlops · ai-ethics · ai-policy#103Dec 2020UK Data Strategy Consultation, Applying the MLOps Lifecycle, Break into NLP with Andrew NG, Uber on Scale Data Queries, NLP Applications Podcast + more 🚀ai-policy · mlops · nlp#102Nov 2020AI Diversity of Dev & Apps, High Performance NLP, Facebook on Data Discovery, Netflix on Real Time Batch, ML Street Talk Podcast + more 🚀nlp · data-engineering#101Nov 2020E2E Production ML Monitoring, Feature Stores Demystified, ML in Compiler Optimization, Explainable AI in Drug Discovery, Challenges in Deploying ML + more 🚀mlops · explainability#100Nov 2020Cross-vendor GPU Python ML, ML Metadata Management Tools, Practical Guide To Responsible AI, Navigating ML Deployment, Stanford MLSys Seminars + more 🚀mlops · ai-ethics · gpu-compute#99Nov 2020Definitive AI Monitoring Guide, Computational Limits of DL, Safely Rolling out ML to Prod, Audio ML Infrastructure at Spotify, Stop using k8s for ML (use k8s) + more 🚀mlops#98Nov 2020Andrew Ng on Production AI, Netflix's Distributed Tracing Infra, Importance of Data in MLOps, Image Outlier Detection in ML, The State of AI Ethics Report + more 🚀mlops · ai-ethics#97Oct 2020Accelerating GPU Workloads, Software Eng for Deep Learning, The Rise of MLOps, 200 Best ML & Python Tutorials, Running 1M+ Batch Jobs in K8s + more 🚀gpu-compute · mlops · ml-education#96Oct 2020Android Apps with ML on GPU, The Canonical ML Stack, Modern Data Infra Architectures, FB Eng Lead discusses Fairness, AI Ethics - Whose Ethics? Event + more 🚀mlops · ai-ethics#95Oct 2020Real Time ML at Scale, Awful AI Listing Scary Usecases, Scientific Computing with Python, Deep Learning Models Repo, AI for Software Development + more 🚀mlops · ai-ethics · ml-education#94Oct 2020Distributed Training of ML Models, State of AI Report 2020, Embracing Logging in ML, A Brief History of ML Platforms, Whose Ethics? Eastern + Western + more 🚀mlops · gpu-compute · ai-ethics#93Sept 2020GPU Accelerated ML in GameDev, Modular vs E2E ML Platforms, Dagster Data Orchestration, ML for MedTech Monitoring, Whose Ethics? Eastern + Western + more 🚀mlops · gpu-compute · ai-ethics#92Sept 2020Data Version Control with Dmitry, Differential Privacy Series, Which GPUs for Deep Learning, Reinforcement Learning Pathmind, Explainable AI Monitoring + more 🚀mlops · privacy · reinforcement-learning#91Sept 2020Machine learning in cross-vendor & mobile GPUs made simple, AI, Data & Ethics Research, Detecting Shifts in Policy with ML, AI Enabled Code Compilers, AI O'Reilly 2020 Trends to Watch + more 🚀gpu-compute · ai-ethics · nlp#90Sept 2020AI, Data & Ethics Research, AI Summarize Human Feedback, LipSync DeepFake AI Improved, Getting started with ML resource, AI Monitoring & Assurance + more 🚀ai-ethics · reinforcement-learning#89Aug 2020FastAI Practical Data Ethics, Building Conversational AI Apps, Computational Learning Intro, Topic Modelling with Gensim, Optical Character Recog for All + more 🚀ai-ethics · nlp#88Aug 2020FastAI New Course, Libs & Book, Massive Scaling Google Meets, DeepFakes Threat Report, AI Developer Tools Landscape, Beginner to Prof. Dev with Python + more 🚀mlops#87Aug 2020Prod Model Server Features, Computational Causal Inference, Practical AI's 100th Episode, Realistic Tennis AI w Vid2Player, New Jupyter Book Launch + more 🚀mlops · ml-research#86Aug 2020Innovation, Regulation and AI, The Role of AI Product Managers, Data Observability in Production, Graph Algorithms in Industry, Open RL Benchmark 0.3.0 + more 🚀ai-policy · reinforcement-learning#85Aug 2020Experts Recommend ML Books, Why NLP Beyond English, Kubeflow ML Prod Workflow, Configuring Cross-Validation, Philosophers on GPT-3 (feat. AI) + more 🚀nlp · mlops · ml-education#84Jul 2020Netflix On Cutting Data Costs, Awesome Github GPT-3 List, Lessons from ML Prod Monitoring, Airflow Summit Videos are Out, Uber on Editing Massive GeoData + more 🚀mlops · data-engineering · llms#83Jul 2020Building an Enterprise DL Stack, 5 Key Features for ML Platforms, AI Dungeon Open World w GPT3, The State of Apache Airflow, D2IQ KUDO for Kubeflow + more 🚀mlops · llms#82Jul 2020Full Stack Deep Learning Course, Software Engineers in ML, Web Services vs Streaming in ML, Continuous ML (CML) CI/CD, Papers With Code Methods + more 🚀mlops#81Jul 2020Getting ML into Production, Top Books on ML Feature Eng, MSFT Adversarial ML in Industry, Google on Neural Nets for Tables, Getting into a Causal Flow + more 🚀ml-security · nlp · ml-research#80Jun 2020MLflow Joins Linux Foundation, DVC 1.0 features for MLOps, Designing Industrial Scale ML, Machine Learning Operations + more 🚀explainability · mlops#79Jun 2020Model Serving Ecosystem, GitHub Actions for MLOps, Building OSS Tools for NLP Devs, Reinforcement Learning Apps, NLP Transfer Learning at Scale + more 🚀mlops · nlp · reinforcement-learning#78Jun 2020Outlier & Anomaly Detection ML, The State of ML in Python 2020, Applied Homomorphic Encryption, OpenAI NLP API Beta Launch, Continuous Delivery Podcast + more 🚀forecasting · privacy · nlp#77Jun 2020Made with ML Platform, Identifying & Mitigating AI Risks, ACM ByteCast with Donald Knuth, Microsoft NLP Bias Research, Feature Selection with Cont. Data + more 🚀ai-policy · ai-ethics#76May 2020Highlights on EuroPython & ACM, ML in Prod Deployment Guide, Frameworks used by ML Startups, GPT-3 Deep Dive Explanation, Scaling Data with Outliers for ML + more 🚀mlops · llms#75May 2020Microsoft Programming AI, ML Infra for Model Building, Discourse Rethinking Public Data, Advanced NLP Video Course, What to Do When AI Fails + more 🚀nlp · mlops · ai-ethics#74May 2020Coding Habits for Data Scientists, Enterprise AI Adoption 2020, Natural Language Processing 101, AI Scalability & Performance, MLOps is Not Enough + more 🚀mlops · nlp#73May 2020Real Time ML Stream Processing, Statement on Contact Tracing, ICLR 2020 Videos Released, Why TinyML will be Huge, PapersWithCode: A home for ML + more 🚀data-engineering · ai-policy · ml-research#72May 2020Monitoring ML Models in Prod, 65 Free Springer ML Books, Neural Network Music Generator, Open Source Deep Learning, AI, COVID19 & Contact Tracing + more 🚀ai-ethics#71Apr 2020A Practical Intro to Responsible AI, Simulating Real World in Python, Advanced NLP with SpaCy, 500 Free CompSci Courses, Modelling & Simulating Epidemics + more 🚀ai-ethics · nlp · ml-education#70Apr 2020Privacy Preserving AI Lecture, Backpropagation 101 from Thinc, Harvard Offering Free Courses, GPT2 AI Dungeon Game Update + more 🚀privacy · ml-education · nlp#69Apr 2020Insights for Remote ML Teams, Human-in-the-loop in Prod ML, Netflix & Druid for Real Time Data, The Importance of Data Prep + more 🚀mlops · data-engineering#68Apr 2020GitLab Data Lessons Learned, Data Discovery at Spotify, Exploratory Data Analysis Dive, Tokenisers & How Machines Read, Intel Demystifying the AI Stack + more 🚀data-engineering · nlp · mlops#67Mar 2020COVID-19 AI solutions at scale, Democratising Deep Fakes 😬, Shopify on Scaling AI, Industry Reinforcement Learning, Transfer Learning in NLP + more 🚀reinforcement-learning · nlp#66Mar 2020PyTorch ML from Scratch, The MLOps References List, Deep Learning & Info Retrieval, Integrating SHAP Explainability, AI meets operations with OReilly + more 🚀ml-research · explainability · mlops#65Mar 2020Explainability, Security & MLOps, Python Machine Learning Books, DevOps in Machine Learning, A Tour on E2E ML Platforms, Adversarial ML Reading List + more 🚀mlops · explainability · ml-security#64Mar 2020Kubernetes ML for Everyone, Production-Ready ML Systems, Explaining Long Term ML Impact, Quantifying Reproducibility of ML, Adversarial Examples Resource + more 🚀mlops · ai-ethics · ml-security#63Mar 2020Building Blocks of Interpretability, Ethics in AI and Big Data Course, Reviewing Emotional Expressions, Model Explainability for Business, Microsoft's Data Science Process + more 🚀explainability · ai-ethics#62Feb 2020Jurgen's Retrospective AI 2010s, Hyperconnected Missinformation, MLOps: The End of End-to-End, How to Interpret an ML Model, Empirical Quality Metrics for DL + more 🚀ai-ethics · mlops · explainability#61Feb 2020Microsoft's NLP Recipes, Messaging & Data Ingestion++, Why Imbalanced ML is so hard, AI for Data Cleaning at Scale, Training Models with 1b+ Params + more 🚀nlp#60Feb 2020Hands on MLOps for AI at Scale, Why ML Degrades in Production, Kaggle Kernel on Interpretability, Building Domain Specific NLP, Bayesian Product Raking Wayfair + more 🚀mlops · explainability · nlp#59Feb 2020Table Detection & NLP with DL, Towards general conv. agent, State of privacy preserving ML, Distributed Delayed Job Queueing, Applying confidence models + more 🚀privacy · data-engineering#58Jan 2020Feature Stores for ML, Key AI & Data Trends for 2020, LF AI 2019 Year in Review, From local to global XAI, Sampling methods for imbalances + more 🚀mlops · explainability#57Jan 2020Google Research 2019 + Beyond, Facebook OSS Year in Review, AI Lessons Learned with Rakuten, Move fast and break things w AI, Intro to Ethics in AI + more 🚀ai-ethics · ai-policy#56Jan 2020Evolution of ML Infrastructure, 30 Woman Advancing AI, Calculating the Value of Data, Intro to Ethics in AI, A Guide to File Formats in ML + more 🚀mlops · ai-ethics#55Jan 2020Machine Learning System Design, Machine Learning Interviews, A Deep Dive into Online Learning, Unsupervised NLU via GPT-2, Open Source Business Models + more 🚀ml-education · nlp#54Dec 2019Yoshua Bengio; Towards system 2, AI Index 2019 Report, Microsoft's NLP Best Practices, The day that changed Netflix tech, Attention and Augmented RNNs + more 🚀llms · nlp · ml-research#53Dec 2019Real time computer vision at scale, Ray for the curious, Evolution of Zulily’s Airflow, Key trends in ML for 2020, A gentle intro to imbalanced ML + more 🚀computer-vision#52Dec 2019Top Python ML Libraries in 2019, NeurIPS 2019 Videos are Out, Modern NLP with SpaCy Podcast, Testing Guide for Software, Spotify on Better ML Infrastructure + more 🚀mlops · nlp#51Dec 2019Play Endless Game Built by AI, Gentle Intro to Model Selection, Code Reviews for Jupyter NBs, Netflix Releases Metaflow, Adversarial Detection Hands On + more 🚀mlops · ml-security · generative-ai#50Dec 2019Data Science Best Practices, A Contract for the Web, Deep Learning Indaba 2019, Uncertainty Quantification in DL, Google XAI Whitepaper + more 🚀explainability · ml-research · mlops#49Nov 2019Outlier & Adversarial Detector, The AI Governance Dilemma, Contextually Keyed Word Vectors, Time Series Anomaly Detection, Pyro 1.0 Released + more 🚀mlops · ai-policy · nlp#48Nov 2019ONNX Joins the Linux Foundation, The Nuances in DevOps for ML, Continuous Delivery for ML, Learnings reaching 2% in Kaggle, The New Data Exchange + more 🚀mlops#47Nov 2019E2E ML with MLFlow and Seldon, Reconstructing thoughts with ML, Scalable AutoML with Ray, Tensorflow World Videos, 14 types of learning in ML + more 🚀mlops · ml-research · ml-education#46Nov 20196 lessons learned at Booking.com, EurNLP 2019 videos released, Consistency of AI Summarization, Linux Foundation Trusted AI, AI Ethics - Whose Ethics? + more 🚀ai-ethics#45Oct 2019Deep fake detection challenge, Human knowledge to improve AI, Neural text search data flow, The Causal Inference Book, Netflix Open Sources Polynote + more 🚀reinforcement-learning · ml-research#44Oct 2019Awesome AI Guidelines List, MLFlow simplifying model mgmt, Choosing intuitive visualisations, ML Explainability at AI O'Reilly, Machine learning in 6 steps + more 🚀ai-ethics · explainability#43Oct 2019IEML joins the Linux Foundation, Case studies with NumFocus, ML for business & ops intelligence, The open FairML Book, AI Ethics - whose ethics? + more 🚀ai-ethics · ai-policy#42Oct 2019Serverless for ML in Kubernetes, When a model is too big for prod, Optimising Prod ML at Apple, Turn your ML into interactive apps, Modern Applications at AWS + more 🚀mlops#41Sept 2019One data engine to rule them all, The ImageNet for Code, Tackling data processing at scale, Wisdom from debugging at scale, Netflix reimagining experiments + more 🚀ml-research#40Sept 2019Tricking ML Classifiers, ML deployment paradigm, Five must-know graph algorithms, Survey fairness and bias in ML, Google's OSS differential privacy + more 🚀ml-security · mlops · ai-ethics#39Sept 2019Management for Data Science, Selection vs Detection of outliers, Rules for sharing notebooks, AutoML and AI at Google, 5 sampling algos for everyone + more 🚀forecasting · ml-research · ai-ethics#38Sept 2019Continuous Delivery for ML, AIOps and why you should care, Lang models as knowledge bases, AWS data security best practices, A smooth approach to prod ML + more 🚀mlops · ml-security#37Sept 2019Real Time NLP: Spacy and Kafka, Becoming an ML practitioner, Cracking the black box (XAI), Notebook innovation at Netflix, How AI solves scale complexities + more 🚀mlops · explainability · ml-education#36Aug 2019The state of Federated Learning, Data Science Best Practices, Progression of a Data Scientist, Observability 3 year retrospective, Intro to transformer architecture + more 🚀privacy · llms#35Aug 2019The future of Data Engineering, From self study to ML Engineering, 12 NLP Researchers to Follow, N-Shot Learning with Small Data, Causal Inference: Counterfactuals + more 🚀nlp · ml-research · data-engineering#34Aug 2019A survey on the state of AutoML, Got speech? Voice Applications, Cloud native semantic text search, Learning from adversaries, Python-compatible spreadsheets + more 🚀ml-research · ml-security#33Aug 2019Brooklin for data streaming, Tensorflow AI Interpretability, LIDAR and its smart applications, All hail the (AI) algorithm, Machines (and AI) Gone Wrong + more 🚀data-engineering · explainability · ai-ethics#32Jul 2019E2e ML Pipelines in Enterprise, Code-free deep learning Ludwig, ML Reidentification and Privacy, OSS + AI will take us to the Moon, Large Scale Distributed Systems + more 🚀mlops · privacy#31Jul 2019End-to-end XAI in production, Causal inference to improve UX, Managing ML in enterprise, Intro to Adversarial Examples, The GAN Story so far + more 🚀explainability · ml-research · ml-security#30Jul 2019Production-level ML Explainers, AI Explanations w Counterfactuals, Privacy & Cybersecurity Merging, Hightlights of AI O'Reilly Beijing, 18 Impressive GANs Applications + more 🚀explainability · ml-security · generative-ai#29Jul 2019Major trends in AI & Data, Production-level AI Explanations, 85% of Big Data Projects Fail, ML Mastery on building GANs, Question-answering AI in K8s + more 🚀explainability · data-engineering · ml-security#28Jul 2019The state of AI in 2019, Production ML in 2019, Model governance and ops, The best of modern NLP, Adversarial examples with FGSM + more 🚀mlops · explainability · ml-security#27Jun 2019Distributed AI made easy w Ray, Model Interpretation with Alibi, Principled Machine Learning, Comparing Time Series Models, The quest for high-quality data + more 🚀explainability · reinforcement-learning · mlops#26Jun 2019PyTorch Hub + Reproducible ML, Privacy-preserving AI free course, MLFlow for pipeline management, E2E NLP Pipelines with Kubeflow, The Brains behind SpaCy + more 🚀mlops · privacy · nlp#25Jun 2019Google Research on MLOps, The Book on AutoML, Deep Learning for face detection, Maintainable ETL Pipelines, Counterfactuals for Explainable AI, The Semi-Supervised Revolution + more 🚀ml-research · explainability · computer-vision#24May 2019Standford's Deep NLP Course, The Data Orchestration Layer, The Illustrated Transformer, People plus AI Guidebook, Build a reproducible ML Pipeline, GANs in Action Book + more 🚀nlp · llms · mlops#23May 2019Best practices for ML Engineering, The Journal of Open Source, Visualising Attention in Deep NLP, Pruning API in Tensorflow, ML Explanations with VIBI, Two missing links in serverless + more 🚀explainability · mlops#22May 2019A conversation on practical NLP, "I don't like notebooks" @ ICLR19, A Berkeley view on serverless, Face detection in Python OpenCV, Human-Centric ML Infrastructure, A tutorial on Convolutional NNs + more 🚀nlp · mlops · computer-vision#21May 2019Alibi for black box explanations, Karpathy's tips on training NNs, Nando on learning to learning, A gentle intro to ImageNet, SparkML Kafka Environment, An introduction to computer vision + more 🚀explainability · computer-vision#20Apr 2019An R book for programmers, Real time ML with Kafka & Spark, Deltalake DB & data lake layer, Amunsen data discovery engine, DAWN Machine Learning Tools, Serverless operator reuse + more 🚀mlops · data-engineering#19Apr 2019Advanced NLP with SpaCy, Grid search across scikit models, A chat on ML version control, Beyond black holes with the code, Scientific python in the browser, XAI v0.0.5 released into the wild + more 🚀nlp · explainability#18Apr 2019Reducing Bias in Bios, Data Augmentation for Images, Common statistical tests, AutoML with code generation, Strata Data San Fran Highlights, Stackoverflow Developer Survey + more 🚀ai-ethics · ml-research#17Apr 2019The SpaCy universe of resources, Preprocessing images with Keras, Calling out statistical significance, ✨ Introducing Plotly Express ✨, Time series with TF Probability, Massive Multi-Task Learning + more 🚀nlp · ml-research#16Mar 2019🥳🎉We've reached 1000🎈🎆, 1. Real time ML big data streams, 2. Test Driven Development in AI, 3. Machine Learning Landscape, 4. Detecting ouliers & anomalies, 5. Checklist to debug neural nets, 6. Evaluating model performance + more 🚀data-engineering · mlops · forecasting#15Mar 2019AI debiasing doesn't debias bias, The NLP of human noises, Feature visualisation via activation, The GAN stroke of genious, Essential NLP Tools, Code & Tips, AI comedy generated by humans + more 🚀ai-ethics · explainability · nlp#14Mar 2019Domain knowledge in DL, Federated learning in Tensorflow, Live ggplots for your twitter rants, Evolving Jupyter in the Lab, 8 Books for Computer Vision, Qrash Course on RL, Introducing data labelling section + more 🚀privacy · reinforcement-learning#13Mar 2019A deep dive on ML versioning, How to become an ML engineer, Developing competence in DL, 🚀 beyond Jupyter with Jupytext, Tensorflow 2.0 Alpha is out, Adversarial drawing with GANs + more 🚀ml-education · ml-research#12Mar 2019Bias and Explainability in ML, Federated Learning with PyTorch, Data Visualisation Deep Dive, Practical recommenders tutorial, Learning Curves in ML evaluation, Machine Learning Cybersecurity + more 🚀explainability · privacy · recommender-systems#11Feb 2019Top Sources for ML Datasets, Major RL Papers in 2018, Get Better Deep Learning Results, A beginners intro to deep NLP, This AirBnB does not exist, Feature flags in Machine Learning + more 🚀reinforcement-learning · ml-education · nlp#10Feb 2019Delayed impact of FAIR ML, Getting started with Google Collab, Data Science Salaries in Europe, Building tensorflow from scratch, Better language models, AI where? In the blockchain 💰 + more 🚀ai-ethics · ml-education#9Feb 2019Tools to scale your production ML, Outlier Detection by ML for ML, How Facebook scales their ML, Transfer Learning to improve DL, Towards Federated Learning, Quantum ML Online Course + more 🚀mlops · forecasting · privacy#8Feb 2019Papers with code update, NVIDIA's AI generated graphics, Serverless and machine learning, Tensorflow 2.0 APIs, 16k research paper analysis, Google Brain Research in 2018 + more 🚀ml-research#7Jan 2019AI vs Human - Starcraft II Edition, From zero to distributed, Tensorflow 2.0, I heard you like machine learning, Impact of Learning Rate, Monitoring Parking with R-CNN + more 🚀reinforcement-learning · ml-research · computer-vision#6Jan 2019Machine Learning Michaelangelo, The new role of data engineers, Why data scientists love MLOps, Seeing theory: Probability & stats, Data Science vs Engineering, Accelerate ML with Batch Norm + more 🚀mlops · data-engineering · ml-research#5Jan 2019XAI - eXplainability library for AI, Deep neural inspection, AI against alzheimer's disease, Differential privacy for tensorflow, The role of ML in databases + more 🚀explainability · ml-security#4Jan 2019Andrew Ng and Reproducibility, 2018 machine learning nostalgia, Magic of Feature Engineering, Explainability/bias with tensorflow, Ensembles and more ensembles, CI/CD for Machine Learning + more 🚀mlops · explainability#3Dec 2018Extreme ML with Kafka, Programming Explainable ML, Computer Vision Everywhere, Beyond Accuracy with ROCs, Super-SlowMo Generators, EC on Trustworthy AI + more 🚀explainability · computer-vision · mlops#2Dec 2018Towards pandas 1.0, Top 50 matplotlib visualisations, Papers with code, An introduction to kubeflow, Style-based Face Generators, Adversarial debugging for NLP + more 🚀generative-ai · ml-security#1Dec 2018Combat Imbalanced Classes, Compliant machine learning, Data science career transitions, Curiousity driven data science, Automate boring tasks, Facebook open sources PyText + more 🚀explainability · nlp · ml-education