Stanford Online presents a new introductory lecture on how to build a Large Language Model (LLM). This lecture goes beyond the basics of transformers, focusing on crucial aspects like evaluation, cost, compute resources, data preparation, tokenizers, and more. It's designed to help learners understand the comprehensive process of building an LLM, covering practical components often overlooked in other courses. Ideal for those looking to delve deeper into the intricacies of LLM development.

Location : Online, Global

Categories : Others

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