This session offers a detailed look at the architectures involved in Large Language Model Operations (LLMOps). It’s designed for those interested in the technical specifics and practical applications of LLMOps, including the key components and workflows that define these fields.

Attendees will learn about:

• The core architectures used in LLMOps and similarities to MLOps
• What it takes to build RAG bots and Agents on Databricks
• The various elements involved in these operations, such as data management, model training, deployment, AI gateway and monitoring.
• Strategies for implementing effective LLMOps in your projects, with a focus on improving efficiency and model performance.