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Exploration-Based Trajectory Optimization: Harnessing Success and Failure for Enhanced Autonomous Agent Learning
In artificial intelligence, large language models (LLMs) are a beacon of innovation, ushering in an era where autonomous agents can perform complex tasks with unprecedented precision. These models, including renowned examples like GPT-4, enable agents to plan and...
Chain-of-table: Evolving tables in the reasoning chain for table understanding
Posted by Zilong Wang, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team People use tables every day to organize and interpret complex information in a structured, easily accessible format. Due to the ubiquity of such tables, reasoning over...
Going top shelf with AI to better track hockey data
Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.
Going top shelf with AI to better track hockey data
Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.
Going top shelf with AI to better track hockey data
Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.
Going top shelf with AI to better track hockey data
Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.
