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#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 #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 #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 #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 #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 #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 🚀ai-policy · generative-ai · llms #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 🚀forecasting · llms · ai-policy #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 #268Feb 2024Democratising LLM Inference, Google Forecast Foundation Model, Cyber-resilience Act and OSS, Stanford's Modern Algorithms, LLaVA 1.16 OCR & Reasoning + more 🚀llms · forecasting · ai-policy #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 🚀llms · ai-policy · ml-education #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 #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 🚀ai-policy · llms · generative-ai #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 🚀data-engineering · ai-policy · ml-education #255Nov 2023The ML Engineer this week, ACM TPC & State of Tech Policy, Python 17,000x Faster Data, Google's ML Weather Forecast, Most Valuable Traits of Top Devs, Animated AI Neural Architectures + more 🚀ai-policy · forecasting #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 #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 🚀generative-ai · ai-policy · llms #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 🚀ai-policy · llms #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 🚀llms · recommender-systems · ai-policy #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 #217Feb 2023Awesome Production ML OSS, Tech Behind Github Code Search, Preparing for the Europe AI Act, Rise of Enterprise AI Leadership, React.js The Documentary + more 🚀ml-security · ai-policy #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 #206Nov 2022PyData Global 2022 Coming Up, Algorithmic Responsibility Panel, Securing ML Algorithms in EU, Large Language Models Review, SICP Key CompSci Foundation + more 🚀llms · ml-security · ai-policy #201Oct 2022Kubernetes AI Opening Keynote, Data Mesh Architecture Definition, NVIDIA Optimizing Data Collect, Growing Metadata Mgmt Systems, Data Product Management + more 🚀data-engineering · ai-policy #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 #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 #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 #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 #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 #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 #112Feb 2021Misinformation: Tech & Solutions, Metadata Management Systems, Papers With Code Datasets, AI & ML Platforms in 2021, AI Regulatory Proposals + more 🚀ai-policy · mlops #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 #86Aug 2020Innovation, Regulation and AI, The Role of AI Product Managers, Data Observability in Production, Graph Algorithms in Industry, Open RL Benchmark 0.3.0 + more 🚀ai-policy · reinforcement-learning #77Jun 2020Made with ML Platform, Identifying & Mitigating AI Risks, ACM ByteCast with Donald Knuth, Microsoft NLP Bias Research, Feature Selection with Cont. Data + more 🚀ai-policy · ai-ethics #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 #57Jan 2020Google Research 2019 + Beyond, Facebook OSS Year in Review, AI Lessons Learned with Rakuten, Move fast and break things w AI, Intro to Ethics in AI + more 🚀ai-ethics · ai-policy #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 #43Oct 2019IEML joins the Linux Foundation, Case studies with NumFocus, ML for business & ops intelligence, The open FairML Book, AI Ethics - whose ethics? + more 🚀ai-ethics · ai-policy