John Berryman

“Retrieval-Augmented Generation (RAG) is often built around semantic search, where documents are chunked, embedded as vectors, and retrieved based on their meaning. While this approach is powerful, it also comes with significant challenges—large indexes, clunky filtering mechanisms, and a lack of transparency in search results.

This workshop will provide a comprehensive introduction to Large Language Models (LLMs), covering their capabilities, structure, and practical applications. Participants will learn prompt engineering techniques, retrieval-augmented generation (RAG), agentic AI design, fine-tuning strategies, and model evaluation methods.