Exploring MLOps and LLMOps - Architectures and Best Practices

Dive into a comprehensive session exploring the architectures and best practices of Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). Gain insights into the core components, workflows, and technical specifics that define these fields. Learn about effective strategies for implementing MLOps and LLMOps in your projects, focusing on improving efficiency and model performance. Discover key aspects of data management, model training, deployment, and monitoring. Benefit from the expertise of Databricks professionals Arpit Jasapara, Joseph Bradley, and Yinxi Zhang as they share their knowledge on enhancing your machine learning and large language model operations. Access additional resources like the LLM Compact Guide and Big Book of MLOps to further expand your understanding of these crucial areas in AI and machine learning.

Exploring MLOps and LLMOps: Architectures and Best Practices