# Enhancements and Implementations in MLflow

> In this video, Eumar provides an update on the GitHub repository enhancements for the Day 2 labs in the agentic module, focusing on the latest MLflow 3 implementation. He demonstrates how to leverage this new version for improved model tracing, observability, and deployment, including A-B testing c…

- Web page: https://www.dataexpert.io/lesson/enhancementsandimplementationsinmlflow-feb26-p736-l2163
- Program: [DataExpert](https://www.dataexpert.io/program/data-expert)
- Module: Week 6: Building AI Agents with Databricks
- Access: Requires enrollment in DataExpert
- Length: 11 min video
- Skills: Python, MLOps, LLMs, Data Modeling
- Academy: DataExpert.io Academy

## About this lesson

In this video, Eumar provides an update on the GitHub repository enhancements for the Day 2 labs in the agentic module, focusing on the latest MLflow 3 implementation. He demonstrates how to leverage this new version for improved model tracing, observability, and deployment, including A-B testing capabilities. He encourages everyone to run the updated labs, as they now include features like human and LLM evaluations, synthetic dataset generation, and a streamlined user experience for feedback. He reminds everyone to check the changes in the catalogs and engage with the new evaluation sessions, emphasizing that their feedback is crucial as the team refines the models and processes.

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