Name: Fine-Tuning LLMs: Best Practices and When to Go Small
Uploaded: 2023-06-01
Description: With the open source releasing foundational models at a blistering pace there has never been a better time to develop an AI-powered product. In this talk, we walk you through the challenges and state-of-the-art techniques that can help you fine-tune your own LLMs. Additionally, we will provide guidance on how to determine when a small model would be more appropriate for your use case.

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With the open source releasing foundational models at a blistering pace there has never been a better time to develop an AI-powered product.  In this talk, we walk you through the challenges and state-of-the-art techniques that can help you fine-tune your own LLMs. Additionally, we will provide guidance on how to determine when a small model would be more appropriate for your use case.

Fine-Tuning LLMs: Best Practices and When to Go Small

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