Skip to the document
Madhuopen lab
Outcome School · Other AI topics17 min read

by Amit Shekhar · 24 May 2026

LLM Evaluation

LLM Evaluation. We will understand what it is, why we need it, the main types of evaluation, the automatic metrics and benchmarks we can use, human evaluation, LLM as a Judge, task-specific and safety evaluation, the common challenges, and the best practices to follow.

3,383 words#llm#ai#machine-learning4 recall cards

LLM Evaluation
Read on Outcome School ↗then come back to lock it in
Before you read, guess

How would you characterize the capabilities and limitations of large language models?

Ten seconds, a guess, then read — a wrong guess still makes the answer stick.

What this article covers

  1. What is LLM Evaluation?
  2. Why do we need LLM Evaluation?
  3. Types of LLM Evaluation
  4. Automatic Metrics
  5. Benchmarks
  6. Human Evaluation
  7. LLM as a Judge
  8. Task-Specific Evaluation
  9. Safety and Red-Teaming Evaluation
  10. Challenges in LLM Evaluation
  11. Best Practices
  12. When to use which method

The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.

Before you go

In one sentence, what was this chapter about?

From memory, without scrolling up. Writing it is what makes it yours; the grade is only to show you what you had.

How sure?