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#388May 2026Making DL Go Brr w First Principles, Benedict Evans: AI Eats the World 2026, Gemini 3.5 Frontier Intelligence, (Sk)Forecast Foundation Models, NVIDIA' New Image/Video Model + more 🚀gpu-compute · forecasting · generative-ai #387May 2026Toto 2.0 Time Series Foundation Model, TabPFN-3 Tabular Foundation Models, Stanford SWE Real-World Dataset, DeepMind AlphaEvolve Scaling Impact, Mozilla on Mithos Vulnerabilities + more 🚀forecasting · ai-agents · ml-security #362Nov 2025Google Weather Forecast 2.0, META on GenAI World Models, MCP Protocol UI Extension, DuckDB's Take on the Lakehouse + more 🚀forecasting · generative-ai #361Nov 2025Stanford CS236: Deep Generative Models, Introducing the OWASP Top 10 2025, GenAI World Foundation Models, Synthetic Time Series Foundation Models + more 🚀generative-ai · ml-security · forecasting #358Oct 2025Amazon Releases Chronos-2, Robotics Foundation Models, DeepSeek OCR Released, Ray Joining Linux Foundation + more 🚀forecasting · llms · mlops #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 #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 #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 #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 #282May 2024Stanford on Machine Unlearning, StackOverflow and OpenAI, Open Time Series Large Models, Scraping with AI (Prompts), The Illustrated Word2Vec + more 🚀llms · forecasting #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 #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 #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 #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 #257Nov 2023The ML Engineer this week, TimeGPT: Magical Auto Forecast, tldraw; When UX and AI Intersect, Deep Learning Weather Forecast, Geneva Uni Neural Nets Course, Humans vs GPT-4 on Reasoning + more 🚀forecasting · generative-ai · llms #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 #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 🚀generative-ai · forecasting · ml-education #248Sept 2023StabilityAI's Text-to-Song Model, Dataset-Driven LLM Optimiztion, Google's MLP for Forecasting, Hallucination Detection for LLMs, Death by 1000 Microservices + more 🚀generative-ai · llms · forecasting #209Dec 2022OSS Insights at Scale with TiDB, O'Reilly Trends December 2022, Stanford ML Systems Design, Linux Foundation 2022 Report, Statistical vs DL Forecasting + more 🚀data-engineering · forecasting #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 #179May 2022PyCon Machine Learning Security, Approaching (Almost) all ML Book, Airbnb's Microservice Architecture, Image Outlier Detection Tutorial, The HackerNews Algo Internals + more 🚀ml-security · forecasting #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 #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 #78Jun 2020Outlier & Anomaly Detection ML, The State of ML in Python 2020, Applied Homomorphic Encryption, OpenAI NLP API Beta Launch, Continuous Delivery Podcast + more 🚀forecasting · privacy · nlp #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 #16Mar 2019🥳🎉We've reached 1000🎈🎆, 1. Real time ML big data streams, 2. Test Driven Development in AI, 3. Machine Learning Landscape, 4. Detecting ouliers & anomalies, 5. Checklist to debug neural nets, 6. Evaluating model performance + more 🚀data-engineering · mlops · forecasting #9Feb 2019Tools to scale your production ML, Outlier Detection by ML for ML, How Facebook scales their ML, Transfer Learning to improve DL, Towards Federated Learning, Quantum ML Online Course + more 🚀mlops · forecasting · privacy