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

# LLM
# Fine-tuning LLMs
# Preemo Inc

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.

Speakers

Mark Huang
Co-Founder @ Gradient

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

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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From4:55 PM
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From5:00 PM
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May 17, 4:00 PM GMT
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Event has finished
May 17, 4:00 PM GMT
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