Advanced Experiment Tracking for LLM-Powered applications with Customized Open-Source MLFLow

In this technical talk, attendees will discover how Intuit has leveraged open-source MLFlow to improve the performance of traditional ML models and LLM powered applications through effective tracking and management of machine learning experiments. Highlights of the talk include Intuit's customizations for achieving reproducibility of experiments, model lineage tracking, and streamlined model review workflow through MLFlow integration with their MLPlatform experience.

Talk By: Manas Mukherjee, Sr. Staff Software Engineer, Intuit

Here's more to explore:
LLM Compact Guide: https://dbricks.co/43WuQyb
Big Book of MLOps: https://dbricks.co/3r0Pqiz

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