
Sign up to save your podcasts
Or


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.
Connect with Emily Laird on LinkedIn
By Emily Laird4.6
1919 ratings
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.
Connect with Emily Laird on LinkedIn

334 Listeners

152 Listeners

208 Listeners

197 Listeners

154 Listeners

227 Listeners

608 Listeners

274 Listeners

107 Listeners

54 Listeners

173 Listeners

55 Listeners

146 Listeners

62 Listeners

24 Listeners