Advanced Experiment Tracking for LLM-Powered Applications with Customized Open-Source MLFlow
Offered By: Databricks via YouTube
Course Description
Overview
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
Related Courses
Crie sua página pessoal usando React e Github PagesCoursera Project Network via Coursera Introduction to RISC-V
Linux Foundation via edX C# Framework Design
LinkedIn Learning GitHub Basics Course (How To)
Treehouse Android Development from Scratch to Create Cool Apps!
Udemy