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xLAM: A Family of Large Action Models to Empower AI Agent Systems

Agentic Language Models report from Salesforce AI Research with 8 connected researchers in the LLMpeople atlas.

Salesforce AI Research2024-09-058 researchers
Field
Agentic Language Models
Organization
Salesforce AI Research
arXiv
2409.03215

Canonical link

https://arxiv.org/abs/2409.03215

Connected researchers

Tianyi Zhang portrait
Researcher 2 reports

Tianyi Zhang

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM-2 Technical Report.

Salesforce AI Research
Akbar Shah portrait
Researcher 2 reports

Akbar Shah

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM-2 Technical Report.

Salesforce AI Research
Spencer Christensen portrait
Researcher 2 reports

Spencer Christensen

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM-2 Technical Report.

Salesforce AI Research
Dev Mallya portrait
Researcher 2 reports

Dev Mallya

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM-2 Technical Report.

Salesforce AI Research
Ranjay Krishna portrait
Researcher 1 reports

Ranjay Krishna

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM: A Family of Large Action Models to Empower AI Agent Systems.

Salesforce AI Research
Li Fei-Fei portrait
Researcher 1 reports

Li Fei-Fei

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM: A Family of Large Action Models to Empower AI Agent Systems.

Salesforce AI Research
Silvio Savarese portrait
Researcher 4 reports

Silvio Savarese

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM: A Family of Large Action Models to Empower AI Agent Systems.

Salesforce AI Research
Caiming Xiong portrait
Researcher 5 reports

Caiming Xiong

Salesforce AI Research

Researcher at Salesforce AI Research and coauthor of the xLAM-2 Technical Report.

Salesforce AI Research

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