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 (http://PromptDesk.ai) for an open-source prompt management tool.Check out Brad’s AI Consultancy at bradleyarsenault.me (http://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.

In this episode, we interview Charles H Martin about his open-source Weight Watcher project ( found here <a href="https://weightwatcher.ai/">https://weightwatcher.ai/</a> ), 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 &amp; GPT, Prompt Engineering, Generative AI, and LLM Security.Check out <a href="http://PromptDesk.ai">PromptDesk.ai</a> for an open-source prompt management tool.Check out Brad’s AI Consultancy at <a href="http://bradleyarsenault.me">bradleyarsenault.me</a>Add Justin Macorin and Bradley Arsenault on LinkedIn. Please fill out our listener survey here to help us create a better podcast: <a href="https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link">https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link</a> Hosted by Ausha. See <a href="https://ausha.co/privacy-policy">ausha.co/privacy-policy</a> for more information.

Data-free Quality Analysis of Deep Neural Nets with Charles H. Martin

Embark on a captivating exploration of Large Language Models (LLMs), prompt engineering, and generative AI with hosts Bradley Arsenault and Justin Macorin. With 25 years of combined machine learning and product engineering experience, they are delving deep into the world of LLMs to uncover best practices and stay at the forefront of AI innovation. Join them in shaping the future of technology and software development through their discoveries in LLMs and generative AI.

Podcast website: https://promptdesk.ai/podcast
Hosted by Ausha. See ausha.co/privacy-policy for more information.

Embark on a captivating exploration of Large Language Models (LLMs), prompt engineering, and generative AI with hosts Bradley Arsenault and Justin Macorin. With 25 years of combined machine learning and product engineering experience, they are delving deep into the world of LLMs to uncover best practices and stay at the forefront of AI innovation. Join them in shaping the future of technology and software development through their discoveries in LLMs and generative AI.
 
Podcast website: <a href="https://promptdesk.ai/podcast">https://promptdesk.ai/podcast</a> Hosted by Ausha. See <a href="https://ausha.co/privacy-policy">ausha.co/privacy-policy</a> for more information.