Description

In this episode, we interview Charles H Martin about his open-source Weight Watcher project ( found here https://weightwatcher.ai/ ), which provides ways to test the quality and fit of deep neural networks without having to rely upon a validation dataset. Given the scarcity of high-quality data and the complexity of modern multi-stage ML training and deployment pipelines, this technique could prove to be extremely valuable to any AI engineer, and we were interested to learn more.

—

Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.

Check out PromptDesk.ai for an open-source prompt management tool.

Check out Brad’s AI Consultancy at bradleyarsenault.me

Add Justin Macorin and Bradley Arsenault on LinkedIn.

Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link

Hosted by Ausha. See ausha.co/privacy-policy for more information.