A Guide to AI Models: From Tokenization to Neural Networks with Ishaan Anand - JsJ_669
Manage episode 467743522 series 3479396
محتوای ارائه شده توسط Charles M Wood. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Charles M Wood یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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.
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