Advanced Experiment Tracking for LLM-Powered Applications with Customized Open-Source MLFlow

Offered By: Databricks via YouTube

Course Description

Overview

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Explore how Intuit leverages open-source MLFlow to enhance performance of traditional ML models and LLM-powered applications in this 18-minute technical talk. Learn about Intuit's customizations for achieving experiment reproducibility, model lineage tracking, and streamlined model review workflow through MLFlow integration with their MLPlatform experience. Gain insights from Manas Mukherjee, Sr. Staff Software Engineer at Intuit, on effective tracking and management of machine learning experiments. Discover additional resources including the LLM Compact Guide and Big Book of MLOps to further expand your knowledge in this field.

Syllabus

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

Taught by

Databricks

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