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ProblemMap/GlobalFixMap/Eval/eval_benchmarking.md
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</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.
> All scores and examples on this page are scenario specific debug signals.
> They are not an official leaderboard or scientific proof and do not show that one model is always better.
> Use them as local guidance for your own stack and re run the setup when you change models, data or prompts.
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