Voyager is an open-ended embodied agent that leverages large language models for performing a variety of tasks in different environments.

Which institutions are involved in the Voyager project?

The institutions involved are NVIDIA, Caltech, UT Austin, Stanford, and ASU.

What are the goals of the Voyager project?

The goals are to develop an AI agent that can perform open-ended tasks using large language models across various environments.

How does Voyager utilize large language models?

Voyager uses large language models to understand and perform a wide range of tasks, adapting to different scenarios and environments.

What fields does Voyager contribute to?

Voyager contributes to the fields of artificial intelligence, machine learning, and embodied agents.

How can I contact the corresponding authors of the Voyager project?

You can contact Guanzhi Wang at guanzhi@caltech.edu and Dr. Linxi 'Jim' Fan at dr.jimfan.ai@gmail.com.

What are some key features of Voyager?

Key features include the use of large language models, adaptability to various tasks and environments, and collaborative development by leading research institutions.

What are potential applications of Voyager?

Potential applications include automated assistance in diverse fields, intelligent robotics, and adaptive learning systems.

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Voyager

Name: Voyager
Brand: Voyager
Rating: 5 (1 reviews)
Author: Voyager

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Last updated: August 8, 2024

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What is Voyager?

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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