SESSION

Exploring MLOps and LLMOps: Architectures and Best Practices (repeated)

Register or Login

OVERVIEW

EXPERIENCEIn Person
TYPEDeep Dive
TRACKData Science and Machine Learning
TECHNOLOGIESDatabricks Experience (DBX), AI/Machine Learning, MLFlow, Orchestration
SKILL LEVELAdvanced
DURATION90 min

This session will be repeated.

 

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

 

Attendees will learn about:

  • The core architectures used in MLOps and LLMOps.
  • The various elements involved in these operations, such as data management, model training, deployment, and monitoring.
  • Strategies for implementing effective MLOps and LLMOps in your projects, with a focus on improving efficiency and model performance.

SESSION SPEAKERS

Joseph Bradley

/Principal Product Specialist
Databricks

Yinxi Zhang

/Staff Data Scientist
Databricks

Arpit Jasapara

/Software Engineer
Databricks