Making Sense of LLMOps - Impact, Risk, and Maturity Assessment

Explore the world of LLMOps in this 26-minute conference talk from the AI in Production Conference. Gain insights from Maria Vechtomova, MLOps Tech Lead at Ahold Delhaize, and Başak Tuğçe Eskili, Senior Machine Learning Engineer, as they delve into the practical aspects of implementing Large Language Models (LLMs) in production environments. Learn about impact assessment, risk assessment, and maturity assessment for LLM projects. Discover best practices, infrastructure considerations, and specific questions to ask when deploying LLMs. Benefit from the speakers' extensive experience in MLOps across various industries. Get valuable resources and examples to help navigate the complexities of LLMOps and bridge the gap between data scientists, infrastructure teams, and IT departments.

Introduction
Overview
Examples
Best Practices
Maturity Assessment
Specific Questions
LLMOps Infrastructure
Resources