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ProblemMap/GlobalFixMap/Eval/eval_benchmarking.md
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
</details>
> **Evaluation disclaimer (benchmarking)**
> This document talks about benchmarking strategies for AI systems and RAG pipelines.
> The examples, scores and comparison plots are scenario specific and depend on the exact models, prompts, datasets and hardware that were used.
> They are intended as engineering guidance for local decision making, not as an official leaderboard or proof that one model is better in every setting.
> When you publish results based on these ideas, you should clearly state the scope and limitations of your benchmark and avoid over claiming what the numbers say.
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This page defines a clean, repeatable way to benchmark your pipeline and prove that a fix actually improved behavior. It uses the same WFGY instruments as everywhere else: ΔS for semantic stress, λ\_observe for stability, and E\_resonance for coherence over long windows.