The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Navigating Machine Learning Artifacts and Experiment Management
This chapter explores the integration of machine learning artifacts with experiment management tools, discussing their independent versus complementary uses. It emphasizes the adoption process for users seeking improved management of pre-training processes and highlights key distinctions between functionalities like artifact utilization and hyperparameter sweeps.
Transcript
Play full episode
