2025​

• January 23 - From Natural Language to SQL: Building and Tracking a Multi-Lingual Query Engine
• January 30 - Beyond Autolog: Add MLflow Tracing to a New LLM Provider
• March 6 - Practical AI Observability: Getting Started with MLflow Tracing
• April 1 - Automatically find the bad LLM responses in your LLM Evals with Cleanlab
• April 28 - MLflow Go
• May 4 - Tracking Image Datasets with MLflow
• June 9 - Announcing MLflow 3
• July 24 - MLflow Meets TypeScript: Debug and Monitor Full-Stack AI Applications with MLflow

2024​

• January 23 - Custom MLflow Models with mlflow.pyfunc
• January 25 - Streamline your MLflow Projects with Free Hosted MLflow
• January 26 - 2023 Year in Review
• March 5 - Announcing MLflow Enhancements - Deep Learning with MLflow (Part 1)
• April 17 - MLflow Release Candidates
• April 26 - Deep Learning with MLflow (Part 2)
• June 10 - Introducing MLflow Tracing
• July 26 - PyFunc in Practice
• August 6 - LangGraph with Model From Code
• August 29 - AutoGen with Custom PyFunc
• September 13 - Models from Code Logging in MLflow - What, Why, and How
• October 3 - LLM as judge
• October 25 - Building Advanced RAG with MLflow and LlamaIndex Workflow
• November 7 - Using Bedrock Agent as an MLflow ChatModel with Tracing
• December 20 - MLflow Tracing in Jupyter Notebooks

2023​

• October 31 - MLflow Docs Overhaul
• November 30 - Automatic Metric, Parameter, and Artifact Logging with mlflow.autolog