LLM Operations (LLMops) Principles
Understand the core concepts of LLMops, including continuous integration, deployment, and monitoring for LLM-powered systems.
What is LLMops?
Welcome! In this lesson, we'll dive into LLM Operations (LLMops). It's a set of practices for managing the lifecycle of Large Language Model (LLM) applications.
Think of it as DevOps specifically tailored for systems that use LLMs. It covers everything from experimenting with prompts to deploying and monitoring your LLM-powered features in production.
Why LLMops Matters
Why do we need LLMops? Building with LLMs introduces unique challenges compared to traditional software:
- Prompt Sensitivity: Small prompt changes can have big impacts.
- Model Drift: LLM behavior can change over time.
- Cost Management: Token usage directly impacts API bills.
- Quality & Safety: Ensuring outputs are accurate, relevant, and safe.
LLMops helps address these issues, ensuring your applications are reliable, efficient, and perform well.
All lessons in this course
- LLM Operations (LLMops) Principles
- Deployment Strategies & Monitoring
- Scalable LLM Application Architectures
- Caching & Cost Optimization for LLM Apps