LLM Evaluations
Last updated
What is LLM Evaluations?
LLM evaluations are structured tests that measure how well a model or AI system performs across a set of defined criteria. Rather than judging outputs informally, evals give you a repeatable, quantitative way to compare prompt versions, model updates, and system changes. They are the primary tool for making confident, evidence-based decisions about your AI system.
Free resources to learn LLM Evaluations
More in stage 19: LLM Evaluations
LLM Evaluations: common questions
Can I learn LLM Evaluations in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain LLM Evaluations in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this LLM Evaluations tutorial for beginners?
It is lesson 156 of 189 in the free AI Engineer roadmap, in stage 19, LLM Evaluations. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.