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#390Jun 2026C++: The Documentary, Stanford Language Modeling from Scratch, Tokenomics Where Tokens are Used, LLMs Need New Routing Paradigm, NVIDIA RTX Spark Launch + more 🚀#366Dec 2025MLOps 2015-2035; The Past and Future, Andrew Ng AI Career Advice, 1000+ Case Studies LLMOps, Top Python Libraries in 2025 + more 🚀#355Oct 2025Andrew Ng New Stanford ML Course, Introduction to Multi-Armed Bandits, Designing Agentic Loops, Building Generative Recommendations + more 🚀#353Sept 2025Anthropic Outage Post-Mortem, Harvard on LLM National Bias, The State of Devs in 2025, Build Containers from Scratch + more 🚀#348Aug 2025LeadDev AI Impact Report, MCP Vulnerabilities For Every Dev, Architecting Large Software Sys, Machine Learning Visualised, Best Practice for Agentic Systems + more 🚀#344Jul 2025The State of GenAI in 2025, Neural Net Operating System, Chain of Thought Monitoring, Crawling a Billion Pages, Principal Engineering at Amazon + 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 🚀#315Dec 2024AI Agents to Control Computers, Best Software Engineering Papers, Alibaba's Reasoning LLM Model, Maximum Likelihood ELI5, AMD GPU Inference Optimization + 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 🚀#281May 2024AI Generating Comics from Text, Stable Text-to-Motion Framework, Tesla Autopilot Training 5m+ Cars, Reading Papers for Career, Measuring Personal Growth + 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 🚀#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 🚀#261Dec 2023Billion Scale Vector Search, Mozilla's MemoryCache Local AI, Deep Learning Foundations Book, Google's Machine Learning for ML, Probabilistic Data Structures + more 🚀#260Dec 2023Practical Deep Learning FastAI, AI Generating Triangle Meshes, Extracting Data from ChatGPT, Stable Difussion Visual Anagrams, Designing Distributed SQL Engine + more 🚀#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 🚀#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 🚀#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 🚀#243Aug 2023Stanford Course on Intro to ML, ML Models Learn vs Generalise, Building Llama from Scratch, MLFlow Tracking and MinIO, MLSecOps Kubeflow Exploration + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#190Aug 2022FastAI Practical ML Course, Golang Based ML Framework, JuliaCon Recordings Released, MLSecOps Top 10 Vulnerabilities, Building Containers From Scratch + more 🚀#184Jun 2022Andrew Ng New ML Course, MLOps Open Source Course, Deep Learning RecSys Survey, Effective Software Testing Guide, Stackoverflow Developer Survey + more 🚀#171Mar 2022Machine Learning Youtube List, Data Management Trends 2022, Ultimate Guide to Text Similarity, OpenTelemetry and Python, Lessons Learned from 10y OSS + more 🚀#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 🚀#153Nov 2021O'Reilly Radar Trends to Watch, Thoughtworks MLOps Platforms, MLOps Anti-Paterns & Lessons, Containers from the Bottom Up + 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 🚀#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 🚀#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 🚀#143Sept 2021Machine Learning EngSci Book, Graph Deep Learning Overview, Massively Scaling ML Training, FAANG Interview Prep Repository, Awesome Kubernetes Lists + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#119Mar 2021Andrew Ng deep dive on MLOps, ML & DL Online Courses, Playbook for Model Monitoring, Building a Database from Scratch, Continuous Retraining Strategy + more 🚀#110Jan 2021Entire CS Curriculum in Youtube, From MLOps to MLOops, 2020's Top ML Papers, Python Data Science Startups, The "Simplest" NumPy Course + 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 🚀#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 🚀#95Oct 2020Real Time ML at Scale, Awful AI Listing Scary Usecases, Scientific Computing with Python, Deep Learning Models Repo, AI for Software Development + more 🚀#85Aug 2020Experts Recommend ML Books, Why NLP Beyond English, Kubeflow ML Prod Workflow, Configuring Cross-Validation, Philosophers on GPT-3 (feat. AI) + 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 🚀#55Jan 2020Machine Learning System Design, Machine Learning Interviews, A Deep Dive into Online Learning, Unsupervised NLU via GPT-2, Open Source Business Models + more 🚀#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 🚀#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 🚀#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 🚀#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 🚀#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 🚀#1Dec 2018Combat Imbalanced Classes, Compliant machine learning, Data science career transitions, Curiousity driven data science, Automate boring tasks, Facebook open sources PyText + more 🚀