Exploring MLOps and LLMOps: Architectures and Best Practices

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.

Talk By: Arpit Jasapara, Software Engineer, Databricks ; Joseph Bradley, Principal Product Specialist, Databricks ; Yinxi Zhang, Staff Data Scientist, Databricks

Here's more to explore:
LLM Compact Guide: https://dbricks.co/43WuQyb
Big Book of MLOps: https://dbricks.co/3r0Pqiz

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