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Analysis of current AI agent benchmarks reveals shortcomings in evaluation practices, focusing on accuracy over cost, leading to complex agents. Proposed solutions aim to optimize cost and accuracy jointly.
https://arxiv.org/abs//2407.01502
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
Analysis of current AI agent benchmarks reveals shortcomings in evaluation practices, focusing on accuracy over cost, leading to complex agents. Proposed solutions aim to optimize cost and accuracy jointly.
https://arxiv.org/abs//2407.01502
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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