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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
Mark Huang
Co-Founder @ Gradient
Agenda
Track View
4:00 PM, GMT
-
4:15 PM, GMT
Stage 1
Opening / Closing
Musical Intro
4:15 PM, GMT
-
4:55 PM, GMT
Stage 1
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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Mark Huang
4:55 PM, GMT
-
5:00 PM, GMT
Stage 1
Opening / Closing
Q&A
5:00 PM, GMT
-
5:15 PM, GMT
Stage 1
1:1 networking
Networking
Event has finished
May 17, 4:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community
Event has finished
May 17, 4:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community