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xLAM: A Family of Large Action Models to Empower AI Agent Systems research paper by Salesforce, 2024

Salesforce · Sep 5, 2024 · Agents and evaluation · 6 upvotes 2 years ago

Read on arXiv

What it shows

xLAM, a series of large action models, enhances agent performance by utilizing diverse datasets and achieving top results on benchmarks like the Berkeley Function-Calling Leaderboard.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jianguo Zhang, Tian Lan, Ming Zhu and 19 more
arXiv
2409.03215 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
6 · Hugging Face
Lab
Salesforce · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

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New paperAdded to the listSep 26, 2026today

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