Name: Fine-Tuning%20LLMs:%20Best%20Practices%20and%20When%20to%20Go%20Small
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

The MLOps Community is where machine learning practitioners come together to define and implement MLOps.
Our global community is the default hub for MLOps practitioners to meet other MLOps industry professionals, share their real-world experience and challenges, learn skills and best practices, and collaborate on projects and employment opportunities. We are the world's largest community dedicated to addressing the unique technical and operational challenges of production machine learning systems.

MLOps Community

Job Title

Login to the MLOps Community community to connect with others, attend community events, and more!

Login or Sign Up for even more

To unlock all parts of the community and get the best experience, complete your profile.

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

Speakers

Agenda