Name: Fine-Tuning LLMs: Best Practices and When to Go Small
Start: 2023-05-17T16:00:00.000Z
End: 2023-05-17T17:00:00.000Z
Location: Online

Musical Intro

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

Co-Founder

Networking

Day 1

<p>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.</p>

Stage 1

Free Ticket

Track 1

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