Evals in 2025: Going Beyond Simple Benchmarks to Build Models People Can Use
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The Hugging Face community discusses the limitations of current AI model evaluation methods and the need for more comprehensive benchmarks that consider real-world use cases and costs. The conversation highlights the challenges of evaluating model performance and the importance of considering specific use cases.
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54-60h
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- 01Story posted
Sep 18, 2025 at 1:16 AM EDT
4 months ago
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Sep 20, 2025 at 12:12 PM EDT
2d after posting
Step 02 - 03Peak activity
2 comments in 54-60h
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Sep 21, 2025 at 10:32 PM EDT
4 months ago
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Evaluating the system you build on relevant inputs is most important. Beyond that it would be nice to see benchmarks that give guidance on how and LLM should be used as a system component, not just which is "better" at something.
Not perfect, but useful.
The problem for me is that it’s not worth running these myself, yeah I may pay attention to which model is better at tool calling. But what matters is how well it does at my use case.