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Newsletter issues on LLMs
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#401Aug 2026Raschka on Claude's Watermarking, The Netflix GenRec Paper, Speculative Decoding on AMD GPUs, DeepSeek's Agent Harness, Postgres for Everything + more 🚀#400Aug 2026Production ML Across 2015-2035, Zalando on Agentic Engineering at Scale, Stealing Reasoning from Encrypted Traces, Hugging Face on Open Models, Cloudflare on MCP Traffic Control + more 🚀#399Aug 2026The New Institute for AI, Multi-Tenant Multi-Tier Memory for AI Agents, LLMs Reward Expertise, Qwen3.8-Max and Open Weights, Harness Design for Long-Running Apps, Mistral's Shieldstral Safety Classifier + more 🚀#398Aug 2026OpenAI Hugging Face Hack Timeline, Cheating in Frontier Model Evaluations, Kimi K3 Architecture, Netflix LLM-Native Recommendations, OpenAI Mathematics Advances + more 🚀#397Jul 2026Europe Launches APERTUS 1.5, Why Software Factories Fail, OpenAI + Hugging Face Security Post-Mortem, Opus 5 Context Engineering, DuckDB Internals Part II + more 🚀#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 🚀#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 🚀#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 🚀#391Jun 2026Autonomous Agentic Systems, OpenAI Codex Engineering, Anthropic on Self Service Analytics, Amazon's Tabluar Foundation Models, Kimi 2.7 Code Model Release + more 🚀#390Jun 2026C++: The Documentary, Stanford Language Modeling from Scratch, Tokenomics Where Tokens are Used, LLMs Need New Routing Paradigm, NVIDIA RTX Spark Launch + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#369Jan 2026Databases 2025 Year in Review, Lessons from 21 Years at Google, Raschka's Big LLM Architectures, Measuring AI Ability for Long Tasks + more 🚀#368Jan 2026Prod ML Hits 20k Stars in Github 🚀, Sebastian Raschka LLM Year Review, Simon Willison 2025 Review, OpenRouter 100 Trillion Token Analysis + more 🚀#367Dec 2025Karpathy 2025 Year in Review, Text-to-SQL Optimization Learnings, MIT Distributed Systems, Python Data Science Handbook + more 🚀#366Dec 2025MLOps 2015-2035; The Past and Future, Andrew Ng AI Career Advice, 1000+ Case Studies LLMOps, Top Python Libraries in 2025 + more 🚀#364Dec 2025Raschka on DeepSeek v3.2, DeepMind Nobel Prize Documentary, The Race of DuckDB / Polars / Spark, Advent of SadServers 2025 + more 🚀#363Dec 2025Black Forest Labs Launches FLUX-2, Major Supply Chain Attacks, Raschka on Building an LLM, 2025 Advent of Code + more 🚀#360Nov 2025Tabular Foundation Era Begins, AI-Assisted Engineering Report, PyTorch Agent Framework (+RL), Bench for Semantic Query Engines + more 🚀#359Nov 2025DORA AI-Dev Report 2025, Chip Huyen on Lenny's Podcast, Europe's EuroLLM Launches, Learning PyTorch the Hard Way + more 🚀#358Oct 2025Amazon Releases Chronos-2, Robotics Foundation Models, DeepSeek OCR Released, Ray Joining Linux Foundation + more 🚀#356Oct 2025A History of Large Language Models, Few Samples Break LLMs, Uber Michelangelo in 2025, Companies Measure AI Productivity + more 🚀#354Sept 2025650+ GenAI Case Study Learnings, The Top Languages in 2025, MIT on the GenAI Business Divide, Leading in a Room with Experts + more 🚀#353Sept 2025Anthropic Outage Post-Mortem, Harvard on LLM National Bias, The State of Devs in 2025, Build Containers from Scratch + more 🚀#352Sept 2025Hierarchical Reasoning Models, QWEN3 Towards Efficiency, Multi-Agents for CVE Exploits, Simon Willison Vibe Code Apps + more 🚀#351Sept 2025The GPU Compute Compendium, OpenAI on LLM Hallucinations, Claude Code Tutorial From Scratch, Google on Limitation of Embedding Retrieval + more 🚀#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 🚀#346Aug 2025StackOverflow Dev Survey, Free Databricks MLOps Course, Google DeepMind World Mapping, Multi-Generation Projects, ACM Transitions to Open Access + more 🚀#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 🚀#343Jul 2025Andrew Ng on Building Faster, GetDX: Measuring AI Productivity, Coding Languages by Efficiency, Twitter Releasing Grok Model, Decreased Productivity with AI + more 🚀#340Jun 2025Karpathy on Software Evolution, Google on Securing AI Agents, Anthropic on Building AgenticSys, State of Eng Leadership 2025, Quantum Computing Lecture Notes + more 🚀#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 🚀#336May 2025Datadog OSS Observability ML, Anthropic Releases Claude 4, Upgraded Climate Foundation AI, Mistral Launches Devstral OSS, Microsoft AI Red Teaming Labs + more 🚀#333May 2025OpenAI's Rouge AI Model, The ML Leaderboard Illusion, When ChatGPT broke NLP, Alibaba's Qwen3 Released, Preparing for Engineering Leadership + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#315Dec 2024AI Agents to Control Computers, Best Software Engineering Papers, Alibaba's Reasoning LLM Model, Maximum Likelihood ELI5, AMD GPU Inference Optimization + more 🚀#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 🚀#313Dec 2024Ilya Sutskever NeurIPS Keynote, Google Releasing Gemini 2.0, Tiktok's Recommendation System, META FAIR Major Releases, OpenAI Releases Text-to-Video + more 🚀#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 🚀#308Nov 2024Tech University Munich AI Talk, Most Popular ML Training Tools, McKinsey AI Power Capacity, Superlinked on Vector Indexes, OpenAI Doubling Down Search + more 🚀#307Nov 2024Most Popular ML Training Tools, Billion Scale Time-Series Model, Vector DBs as Wrong Abstraction, Embeddings are Underrated, GPT-4o Data Poisoning + more 🚀#306Oct 2024Top 3 Challenges in Prod ML, Google DeepMind Weather Forecast, PlanetScale Embeddings SQL, Google Shopping 10m Embedding, META Llama LLM Optimisation + more 🚀#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 🚀#303Oct 2024Meta's MovieGen Model, Ngrok's Central Data Platform, Google's NotebookLLM Podcasts, LLMs Large-Scale Annotation + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#282May 2024Stanford on Machine Unlearning, StackOverflow and OpenAI, Open Time Series Large Models, Scraping with AI (Prompts), The Illustrated Word2Vec + more 🚀#280Apr 2024Production ML Ecosystem 16k ⭐️, A Guide to Visual Transformers, Primer on Hacking LLM Models, Snowflake's Largest LLM, Foundational Tips for Engineers + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#275Mar 2024Twitter/X Releases OSS Grok, Mamba State Space Architecture, Microsoft GenAI Online Lessons, An Intro to SQL for Scientists, Forecasting Principles & Practice + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#268Feb 2024Democratising LLM Inference, Google Forecast Foundation Model, Cyber-resilience Act and OSS, Stanford's Modern Algorithms, LLaVA 1.16 OCR & Reasoning + more 🚀#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 🚀#265Jan 2024MLL Survey of Vector Databases, Microsoft & LF on Recommenders, Stanford on LLM Hallucination, DeepMind vs Doctors Turing Test, AI in RecSys Ranking + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#246Sept 2023Generative Agents & Forums, LangChain Cheat Sheet, Measuring Developer Productivity, Retrieval-Augmented Generation, Intro to Fourier Transforms + more 🚀#243Aug 2023Stanford Course on Intro to ML, ML Models Learn vs Generalise, Building Llama from Scratch, MLFlow Tracking and MinIO, MLSecOps Kubeflow Exploration + more 🚀#242Aug 2023MadeWithML MLOps Course, Instruction Tuning Llama 2, Transparency LLMs Beyond OSS, AI Music Generation from META, How Google Manages Tech Debt + more 🚀#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 🚀#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 🚀#238Jul 2023UK Government AI Regulation, Andrew Ng Generative AI Course, MLOps at Reasonable Scale, Foundation Model Transparency, Train Serve Skew in ML Models + more 🚀#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 🚀#233Jun 2023Deep Learning GenAI Courses, Industral Transformer Forecasting, Ride Sharing App From Scratch, Writing LLM-Powered Applications, Programmer Interrupted Cost + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#227Apr 2023MIT Course Foundation Models, The MLOps Bookshelf Collection, Curated Set of Key LLM Papers, AI Practical Codebase Analysis, RocksDB Under The Hood + more 🚀#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 🚀#224Apr 2023Facebook's MLOps Ecosystem, Twitter OSS Recommender Algo, Large Language Models MLOps, GPT-4-ALL Access with LLaMa, Finance GenAI w BloombergGPT + more 🚀#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 🚀#222Mar 2023Language Models ArXiv Paper, Discord's Trillions of Messages, LLM Prompt Engineering Guide, Fully OSS Alternative to ChatGPT, Airflow and Great Expectations + more 🚀#221Mar 2023LLM Stable Diffussion Moment, The Utility DataFlow Computing, Postgres Architecture Explained, Cost of Architectural Complexity, Migrating from Flask to FastAPI + more 🚀#218Feb 2023Incredible PyTorch Ecosystem, Large Scale RecSys Architectures, Technology Trends 2023 February, Flask to FastAPI Migration Series, The ArXiv of ChatGPT Failures + more 🚀#215Jan 2023AI-Assisted Programming Costs, Text-to-basically-any-sound-effect, The Illustrated Stable Diffussion, Transformer Models Introduction, SQLAlchemy 2.0 Release Post + more 🚀#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 🚀#206Nov 2022PyData Global 2022 Coming Up, Algorithmic Responsibility Panel, Securing ML Algorithms in EU, Large Language Models Review, SICP Key CompSci Foundation + more 🚀#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 🚀#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 🚀#186Jul 2022MLOps Definition & Architecture, When Language Models Too Big, No Language Left Behind LLM, Software Dev Lifecycle Evolution, Lessons From Chaos Monkey + more 🚀#183Jun 2022Reproducible Deep Learning, Trends to Watch in June 2022, Embedding Search at Faceboook, Fallacies of Distributed Systems, Github Malware Store Database + more 🚀#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 🚀#171Mar 2022Machine Learning Youtube List, Data Management Trends 2022, Ultimate Guide to Text Similarity, OpenTelemetry and Python, Lessons Learned from 10y OSS + more 🚀#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 🚀#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 🚀#139Aug 2021StackOverflow 2021 Dev Survey, Alibi for ML Explainability, Data Science Role Evolution, CPU Transformer Optimization, Open End-to-end MLOps Platform + more 🚀#133Jul 2021Pitfalls of Causal Inference in XAI, 7 Layers of MLOps Security, Growing Large Language Models, Automated Data Wrangling, Clever vs Insightful Code + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#36Aug 2019The state of Federated Learning, Data Science Best Practices, Progression of a Data Scientist, Observability 3 year retrospective, Intro to transformer architecture + more 🚀#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 🚀