Voyager
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
Frequently asked questions about Voyager
Voyager's pricing
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Use Cases
AI Researchers
Exploring the capabilities of large language models in diverse and open-ended tasks.
Educational Institutions
Incorporating advanced AI agents into curricula for hands-on learning.
Tech Companies
Utilizing adaptable AI for automation and intelligent assistance.
Developers
Building upon Voyager's framework for creating custom AI solutions.
Robotics Engineers
Implementing embodied agents for practical robotics applications.
Product Managers
Integrating AI-driven features into products for enhanced user experiences.
Healthcare Professionals
Leveraging AI for personalized and adaptive healthcare solutions.
Public Sector Organizations
Deploying intelligent systems for smart city initiatives.
Data Scientists
Applying large language models to analyze complex datasets.
Academic Researchers
Studying the impact and potential of AI in various fields and scenarios.
Learn to use AI like a Pro
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.