SESSION
Advanced Experiment Tracking for LLM-Powered applications with Customized Open-Source MLFLow
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Lightning Talk |
TRACK | Data Science and Machine Learning |
TECHNOLOGIES | AI/Machine Learning, MLFlow |
SKILL LEVEL | Intermediate |
DURATION | 20 min |
DOWNLOAD SESSION SLIDES |
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.
SESSION SPEAKERS
Manas Mukherjee
/Sr. Staff Software Engineer
Intuit