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)
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Intro
This chapter explores the hurdles AI developers encounter when moving from showcasing demos to creating effective applications, emphasizing the need for strong evaluation methods. Additionally, a guest expert shares insights on managing deep learning experiments, paving the way for a deeper discussion on the management of machine learning artifacts.
Transcript
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