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

JavaScript Jabber

Stay current on JavaScript, Node, and Front-End development. Learn from experts in programming, careers, and technology every week.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

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.

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

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