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Voyager

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Last updated: August 8, 2024

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Voyager: An Open-Ended Embodied Agent with Large Language Models is a collaborative research project involving contributors from NVIDIA, Caltech, UT Austin, Stanford, and ASU. The project aims to develop an AI agent that leverages large language models for open-ended tasks in various environments. The authors include Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi 'Jim' Fan, and Anima Anandkumar. The researchers have made significant contributions to the field of artificial intelligence and embodied agents.

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Voyager's Top Features

Use of large language models

Adaptability to various tasks and environments

Collaborative development

Contributions to AI, machine learning, and embodied agents

Applications in diverse fields

Research from top institutions

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