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A Guide to AI Models: From Tokenization to Neural Networks with Ishaan Anand - JsJ_669

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Manage episode 467742924 series 130015
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this enlightening episode of JavaScript Jabber, hosted by Charles Max Wood and Steve Edwards, panelist AJ O'Neil is joined by guest Ishaan Anand to delve deep into the intricacies of AI and large language models. Ishaan, an expert with over two decades of experience in engineering and product management, shares insights into his innovative implementation of GPT-2, providing a comprehensive breakdown of how transformers work in AI. The discussion covers various aspects of AI, including how models predict the next word, the concept of tokenization, embeddings, and the attention mechanism which is central to transformer architectures. Listen in as they explore practical applications, challenges, and the evolving landscape of AI, with a special emphasis on mentorship and education through Ishaan's unique course offering. Whether you're an AI aficionado or a JavaScript developer eager to expand your knowledge, this episode offers valuable perspectives and learning opportunities.
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
  continue reading

720 episodes

Artwork
iconShare
 
Manage episode 467742924 series 130015
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this enlightening episode of JavaScript Jabber, hosted by Charles Max Wood and Steve Edwards, panelist AJ O'Neil is joined by guest Ishaan Anand to delve deep into the intricacies of AI and large language models. Ishaan, an expert with over two decades of experience in engineering and product management, shares insights into his innovative implementation of GPT-2, providing a comprehensive breakdown of how transformers work in AI. The discussion covers various aspects of AI, including how models predict the next word, the concept of tokenization, embeddings, and the attention mechanism which is central to transformer architectures. Listen in as they explore practical applications, challenges, and the evolving landscape of AI, with a special emphasis on mentorship and education through Ishaan's unique course offering. Whether you're an AI aficionado or a JavaScript developer eager to expand your knowledge, this episode offers valuable perspectives and learning opportunities.
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
  continue reading

720 episodes

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