From Generic to Genius - Fine-Tuning LLMs with Precision and Speed

Explore the power of fine-tuning Large Language Models (LLMs) for business-specific applications in this 36-minute conference talk by Manasa Parvathipuram and Sonali Guleria. Discover how to create hyper-personalized LLM models tailored to your company's unique needs, internal jargon, and style. Learn why fine-tuning surpasses Prompt Engineering and RAG in adapting to specific requirements while addressing ownership, latency, and cost concerns. Gain insights into Databricks' Mosaic AI capabilities and how they accelerate the GenAI journey. Delve into fine-tuning principles, architecture patterns, and code examples that demonstrate how to reduce development time from months to weeks. Understand the importance of data privacy and governance using Unity Catalog. By the end of this talk, grasp the key objectives including an introduction to fine-tuning, relevant scenarios, implementation strategies, and practical applications in a business context.

From Generic to Genius: Fine-Tuning LLMs with Precision and Speed