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How LLMs Make Coherent Text
Manage episode 428140203 series 3578824
Content provided by Emily Laird. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emily Laird 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://player.fm/legal.
In this episode of Generative AI 101, go on an insider’s tour of a large language model (LLM). Discover how each component, from the transformer architecture and positional encoding to the multi-head attention layers and feed-forward neural networks, contributes to creating intelligent, coherent text. We’ll explore tokenization and resource management techniques like mixed-precision training and model parallelism. Join us for a fascinating look at the complex, finely-tuned process that powers modern AI, turning raw text into human-like responses.
22 episodes
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Manage episode 428140203 series 3578824
Content provided by Emily Laird. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Emily Laird 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://player.fm/legal.
In this episode of Generative AI 101, go on an insider’s tour of a large language model (LLM). Discover how each component, from the transformer architecture and positional encoding to the multi-head attention layers and feed-forward neural networks, contributes to creating intelligent, coherent text. We’ll explore tokenization and resource management techniques like mixed-precision training and model parallelism. Join us for a fascinating look at the complex, finely-tuned process that powers modern AI, turning raw text into human-like responses.
22 episodes
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Similar to Generative AI 101
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