📰 AI News & Updates

MCP Dev Summit [Day 1] ft. Anthropic, Hugging Face, Open AI & Microsoft

MCP Dev Summit [Day 1] ft. Anthropic, Hugging Face, Open AI & Microsoft

A Playground for AI Engineers

MLflow Leading Open Source

Co-Engineering: The New Era of Human-AI Collaboration

Coding with AI // Chip Huyen

AI REWIND 2025 - MLOps Reading Group Year-end Special

The Future of AI Agents are Sandboxes

How Sierra AI Does Context Engineering

Testing AI Intelligence: The Benchmarking Battle

The Creator of FastAPI’s Next Chapter // Sebastián Ramírez // MLOps Podcast #324

The Great GPU Drought: What We Learned

Getting AI Apps Past the Demo // Vaibhav Gupta // MLOps Podcast #319

The Annotator’s Dilemma — Experts Know the Truth

How Sama is Improving ML Models to Make AVs Safer // Duncan Curtis // MLOps Podcast #307

The Challenge with AI Voice Agents

Why Your ML Models Aren't Making Money

Data Scientists & Data Engineers: How the Best Teams Work // Panel // DE4AI

Unpacking 3 Types of Feature Stores // Simba Khadder // MLOps Podcast #265

Balancing Speed and Safety // Panel // AIQCON

AB Testing for Optimal ROI // Miguel Fierro // MLOps Podcast #240 clip

Beyond Guess-and-Check: Towards AI-assisted Prompt Engineering // Alex Cabrera // AI in Production

No GPU Before PMF // Stanislas Polu // AI in Production Conference Lightning Talk

Ghostwriter - AI Writing That Learns From You // Jonny Dimond // AI in Production Conference

Productionizing Health Insurance Appeal Generation // Holden Karau // AI in Production Talk

Challenging Big Data Assumptions // Hannes Mühleisen & Jordan Tigani // MLOps Podcast #202 clip

PDF Parsing and Value Chain Analysis // Paco Nathan // MLOps Podcast #201 clip

Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // Podcast #202

Language, Graphs, and AI in Industry // Paco Nathan // MLOps Podcast #201

Authoring Interactive, Shareable AI Evaluation Reports with Zeno // Alex Cabrera // LLMs III Talk

Rituals & Best Practices // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard // clip

Observability for LLMs // Phillip Carter // LLMs in Production Conference Lightning Talk 4

MLOps@GetYourGuide // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard// Podcast #182

Harnessing User Feedback for ML Platform Updates // Stephen Batifol // MLOps Podcast #178 clip

The Quest for a Unified MLOps Infrastructure // Lamia Youseff // MLOps Podcast # 175 clip

From Virtualization to AI Integration // Lamia Youseff // MLOps Podcast # 175

Experiment Tracking in the Age of LLMs // Piotr Niedźwiedź // MLOps Podcast #168

Benchmarking LLM performance with LangChain Auto-Evaluator // Lance Martin //LLMs in Prod Con Part 2

Foundation Models in the Modern Data Stack // Ines Chami // LLMs in Prod Conference Part 2

Scaling Algorithms with Machine Learning: A Google Engineer's Journey

Airflow Sucks for MLOps // Stephen Bailey // MLOps Podcast #141

The Power of Representation in Stakeholder Conversations // Shalabh Chaudri // MLOps Pod #146

High Precision Rules and Machine Learning in Cybersecurity // Jeremy Thomas Jordan // MLOps Shorts

Exploring the Advancements and Potential of Machine Learning

ML Ops Market: Slow and Steady Growth Amid Plateau Hype

Verticalization and Infrastructure Solutions in Machine Learning

Building an Open Source MLOps Stack with ZenML Part 2 // Hamza Tahir // MLOps Meetup # 116

Real-time Machine Learning with Chip Huyen // MLOps Coffee Sessions #133