LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33
Data Brew by Databricks
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Choosing and Fine-tuning Language Models
The chapter discusses the criteria for choosing a language model and whether to use an open source or proprietary model. It also provides advice on best practices for fine-tuning and highlights advancements in optimization and new libraries. The chapter concludes by mentioning the top language model use cases in the field.
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