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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 #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 #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 #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 #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 #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 #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 #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 #364Dec 2025Raschka on DeepSeek v3.2, DeepMind Nobel Prize Documentary, The Race of DuckDB / Polars / Spark, Advent of SadServers 2025 + more 🚀llms · mlops #358Oct 2025Amazon Releases Chronos-2, Robotics Foundation Models, DeepSeek OCR Released, Ray Joining Linux Foundation + more 🚀forecasting · llms · mlops #356Oct 2025A History of Large Language Models, Few Samples Break LLMs, Uber Michelangelo in 2025, Companies Measure AI Productivity + more 🚀llms · ml-security · mlops #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #219Feb 2023NeurIPS 2022 Production ML Videos, MIT Intro to Data-Centric ML, ML Innovation at Spotify with Ray + more 🚀ml-security · mlops #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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? 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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 #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 #66Mar 2020PyTorch ML from Scratch, The MLOps References List, Deep Learning & Info Retrieval, Integrating SHAP 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Year in Review, From local to global XAI, Sampling methods for imbalances + more 🚀mlops · explainability #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 #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 #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 #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 #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 #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 #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 #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 #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 #16Mar 2019🥳🎉We've reached 1000🎈🎆, 1. 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