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#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 🚀#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 🚀#333May 2025OpenAI's Rouge AI Model, The ML Leaderboard Illusion, When ChatGPT broke NLP, Alibaba's Qwen3 Released, Preparing for Engineering Leadership + 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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#194Sept 2022Secure Machine Learning Talk, Stable Diffusion Public Release, Popular NLP Projects 2022, CompSci Papers We Love, Code Performance Speed Limits + more 🚀#186Jul 2022MLOps Definition & Architecture, When Language Models Too Big, No Language Left Behind LLM, Software Dev Lifecycle Evolution, Lessons From Chaos Monkey + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#103Dec 2020UK Data Strategy Consultation, Applying the MLOps Lifecycle, Break into NLP with Andrew NG, Uber on Scale Data Queries, NLP Applications Podcast + more 🚀#102Nov 2020AI Diversity of Dev & Apps, High Performance NLP, Facebook on Data Discovery, Netflix on Real Time Batch, ML Street Talk Podcast + more 🚀#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 🚀#89Aug 2020FastAI Practical Data Ethics, Building Conversational AI Apps, Computational Learning Intro, Topic Modelling with Gensim, Optical Character Recog for All + more 🚀#85Aug 2020Experts Recommend ML Books, Why NLP Beyond English, Kubeflow ML Prod Workflow, Configuring Cross-Validation, Philosophers on GPT-3 (feat. AI) + more 🚀#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 🚀#79Jun 2020Model Serving Ecosystem, GitHub Actions for MLOps, Building OSS Tools for NLP Devs, Reinforcement Learning Apps, NLP Transfer Learning at Scale + more 🚀#78Jun 2020Outlier & Anomaly Detection ML, The State of ML in Python 2020, Applied Homomorphic Encryption, OpenAI NLP API Beta Launch, Continuous Delivery Podcast + more 🚀#75May 2020Microsoft Programming AI, ML Infra for Model Building, Discourse Rethinking Public Data, Advanced NLP Video Course, What to Do When AI Fails + more 🚀#74May 2020Coding Habits for Data Scientists, Enterprise AI Adoption 2020, Natural Language Processing 101, AI Scalability & Performance, MLOps is Not Enough + more 🚀#71Apr 2020A Practical Intro to Responsible AI, Simulating Real World in Python, Advanced NLP with SpaCy, 500 Free CompSci Courses, Modelling & Simulating Epidemics + more 🚀#70Apr 2020Privacy Preserving AI Lecture, Backpropagation 101 from Thinc, Harvard Offering Free Courses, GPT2 AI Dungeon Game Update + more 🚀#68Apr 2020GitLab Data Lessons Learned, Data Discovery at Spotify, Exploratory Data Analysis Dive, Tokenisers & How Machines Read, Intel Demystifying the AI Stack + more 🚀#67Mar 2020COVID-19 AI solutions at scale, Democratising Deep Fakes 😬, Shopify on Scaling AI, Industry Reinforcement Learning, Transfer Learning in NLP + more 🚀#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 🚀#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 🚀#55Jan 2020Machine Learning System Design, Machine Learning Interviews, A Deep Dive into Online Learning, Unsupervised NLU via GPT-2, Open Source Business Models + 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 🚀#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 🚀#49Nov 2019Outlier & Adversarial Detector, The AI Governance Dilemma, Contextually Keyed Word Vectors, Time Series Anomaly Detection, Pyro 1.0 Released + more 🚀#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 🚀#26Jun 2019PyTorch Hub + Reproducible ML, Privacy-preserving AI free course, MLFlow for pipeline management, E2E NLP Pipelines with Kubeflow, The Brains behind SpaCy + 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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#1Dec 2018Combat Imbalanced Classes, Compliant machine learning, Data science career transitions, Curiousity driven data science, Automate boring tasks, Facebook open sources PyText + more 🚀