LLM evals need human labels first, then LLM judges as instrumentation
sh_reya · x · 2026-07-27
- The post splits evals into two distinct jobs: discovering failure modes and measuring how common they are.
- LLMs can help find some failure modes, but not all, because many failures are subjective and depend on human interpretation of outputs.
- They are also useful for measuring prevalence from traces, but only as an assistant to human labels.
- The key warning: do not let LLMs fully automate both discovery and measurement; human experts remain essential.
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