Customizing Your Models: RAG, Fine-Tuning, and Pre-Training

Explore techniques for tailoring and improving the performance of AI and Large Language Models in specific domains or tasks in this 40-minute talk by Jonathan Frankle, Chief Scientist of Neural Networks at Databricks. Learn about the AI maturity curve and discover when to apply prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, and pre-training. Gain insights from a world-class AI researcher on achieving highly performant AI systems. Access additional resources like the LLM Compact Guide and Big Book of MLOps to further your understanding of AI customization techniques.

Customizing your Models: RAG, Fine-Tuning, and Pre-Training