LLM Evaluations
Define what good looks like. Catch unsupported claims, design rubrics, and question the judge.
Build the judgment behind reliable AI. Practice LLM evaluations, RAG, and agents with focused questions and clear explanations.
A support assistant cites a refund policy that isn’t in the source. What should your evaluation catch?
Define what good looks like. Catch unsupported claims, design rubrics, and question the judge.
Find the right evidence. Diagnose retrieval misses, handle policy versions, and ground your answers.
Give agents useful boundaries. Choose tools, handle missing information, and design approval steps.
A chatbot gives incorrect refund advice. Inspect the trace, find the cause, choose a fix, and decide whether to release it.
Close the gap between “ignore malicious instructions” and code that actually blocks unauthorized actions.
Audit a misleading evaluation, build a targeted test, and defend a release decision using new evidence.
Work through RAG, agents, evaluation, performance, and security scenarios with five guided steps.
Monthly subscriptions · USD
150 questions across LLM Evals, RAG, and Agents.
150 questions and 25 guided case studies.
25 guided case studies without the question pack.