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xLAM

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Note: This repository is provided for research purposes only. Any data related to xLAM is partially released due to internal regulations to support the advancement of the agent research community.

Autonomous agents powered by large language models (LLMs) have garnered significant research attention. However, fully harnessing the potential of LLMs for agent-based tasks presents inherent challenges due to the heterogeneous nature of diverse data sources featuring multi-turn trajectories.

This repo introduces xLAM that aggregates agent trajectories from distinct environments, spanning a wide array of scenarios. It standardizes and unifies these trajectories into a consistent format,…

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