Discover how to efficiently fine-tune and serve your own Large Language Models (LLMs) in this 42-minute talk by Alex Sherstinsky, Developer Relations Engineer at Predibase Inc. Learn valuable techniques and best practices for optimizing LLM performance, customizing models for specific use cases, and deploying them effectively in production environments. Gain insights into the latest advancements in LLM fine-tuning methodologies and explore strategies for scaling and serving these powerful models efficiently.
Efficiently Fine-Tune and Serve Your Own LLMs
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Efficiently Fine-Tune And Serve Your Own LLMs
Taught by
MLOps World: Machine Learning in Production
