Nathan Lambert：Interconnects· Nathan Lambert·· 3 小時前AI 評分17
Artificial Analysis v5 與基準測試制定者的兩難
Artificial Analysis v5 and the benchmarker's dilemma
AI 導讀
Artificial Analysis v5 聚焦基準測試制定者的兩難：提高模型評分成本高昂，但相比之下，如何在當前 AI 前沿設計有意義的基準測試，仍缺乏清晰方法。獨立評估語言模型的難度亦常被低估。
正文
Housekeeping: I’m on the road so the voiceover will be late.
Hill-climbing is easy, knowing what to hill-climb is hard. Making scores go up is expensive, but we have a much clearer playbook for it than we do for creating meaningful benchmarks at the true frontier of AI today.
Independent evaluation of language models is under-appreciated in how hard of a …
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來源：Nathan Lambert：Interconnects · interconnects.ai