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#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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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 #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