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Beyond Ragas: how do you eval LLMs with LLM-as-judge, DeepEval, and human eval?

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01

Understand the problem

Designing a balanced eval harness — rubric, bias mitigation, and eval-to-prod loop.

llm-evalllm-judge
02

Attempt it yourself

Sketch your approach before reading the solution — that's what interviews test.

Nudge consolestandby

Stuck? Beam a request up — the console returns a conceptual nudge that guides your logic without spoiling the implementation.

03

Study the solution

Combine deterministic checks (exact/regex) + LLM judge (rubric-anchored) + sampled human audit. DeepEval/Braintrust run it in CI with versioned prompts.

Solution ready — 2 min read

Classified // press E to declassify

04

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