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[QA] xLAM: A Family of Large Action Models to Empower AI Agent Systems
The xLAM series introduces large action models for AI agents, enhancing performance and generalizability, and outperforms leading models in benchmarks, promoting open-source advancements in autonomous agent tasks.
https://arxiv.org/abs//2409.03215
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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By Igor Melnyk
5
33 ratings
The xLAM series introduces large action models for AI agents, enhancing performance and generalizability, and outperforms leading models in benchmarks, promoting open-source advancements in autonomous agent tasks.
https://arxiv.org/abs//2409.03215
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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