Introduction
Large Language Models (LLMs) have transformed how we build applications, powering everything from chatbots to content generation systems. As you deploy these models to production, you need to determine if your LLM is working well.
Evaluation is essential for successfully deploying LLMs to production. You need to understand how well your model performs, whether it produces reliable outputs, and how it behaves across different scenarios.
In this module, you'll learn to evaluate LLMs by comparing evaluation approaches, and understanding how individual model evaluation fits into broader AI system assessment. You'll also learn about standard metrics like accuracy and perplexity, and implementing LLM-as-a-judge techniques for scalable evaluation.