LLMOps – Operationalizing LLM apps in production
In this section, we aim to comprehend what LLMOps entails. We will then explore the lifecycle of LLMs, the fundamental components of LLMOps, its benefits, and how it compares to traditional MLOps practices. Additionally, we will discuss Azure’s Prompt Flow platform, which facilitates the transformation of this concept into a tactical solution:
What is LLMOps?
- Definition: LLMOps or large language model operations is a collection of tools and practices focused on managing the lifecycle of generative AI models, including LLMs, small language models (SLMs), and related artifacts in a production environment.
- The goal of LLMOps is to ensure continuous quality, reliability, security, and ethical standards of generative AI models and their applications in production with enhanced efficiency and automation.
- LLM Lifecycle activities: It encompasses a comprehensive workflow that includes a series of critical activities...
