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Generative AI digs the graves of traditional search engines and virtual assistants

The latest advances are aimed at creating more human-like systems that are capable of planning and executing complex tasks as well as, or better than, people ....

Stanford University , United States , Mountain View , South Korea , Sundai Pichai , Sam Altman , Sergey Brin , Sergey Shykevich , Minsu Jang , Google Deepmind , Chirag Shah , Michelle Bak , Larry Page , Jan Leike , Liz Reid , Demis Hassabis , University Of Washington , Robotics Laboratory At South Korea Electronics , Check Point Research , University Of Illinois , Telecommunications Research Institute , Journal Of The American Medical Informatics Association , Hey Google , Large Scale Hypertextual Web Search , Google Gemini , Search Engine Optimization ,

ETRI Develops An Automated Benchmark for Language-based Task Planners

ETRI research team has developed a technology that automatically evaluates the performance of task plans generated by Large Language Models (LLMs), which paves ....

Jaehong Kim , Minsu Jang , Google Saycan , Robotics Lab , Institute For Information , Technology Planning Evaluation , Massachusetts Institute Of Technology , International Conference On Learning Representations , Development Of Uncertainty , Allen Institute , Robotics Research Section , Ministry Of Science , Telecommunications Research Institute , Large Language Models , Language Oriented Task , International Conference , Learning Representations , Massachusetts Institute , In Context Example Selection , Uncertainty Aware Agents Learning , Asking Questions , Technology Planning , Anguage Planner Language Models Robot Lota Bench , National Research Council Of Science And Technology ,

ETRI Unveils Automated Benchmark for Task Planners

ETRI Unveils Automated Benchmark for Task Planners
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Jaehong Kim , Minsu Jang , Google Saycan , Massachusetts Institute Of Technology , International Conference On Learning Representations , Allen Institute , Robotics Research Section , Telecommunications Research Institute , Robotics Lab , Large Language Models , Language Oriented Task , International Conference , Learning Representations , Massachusetts Institute , In Context Example Selection ,

Researchers develop an automated benchmark for language-based task planners

Researchers develop an automated benchmark for language-based task planners
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Jaehong Kim , Google Saycan , Minsu Jang , International Conference On Learning Representations , Robotics Lab , Allen Institute , Robotics Research Section , Massachusetts Institute Of Technology , Telecommunications Research Institute , Case Study , Procedural Generation Following , Large Language Models , International Conference , Learning Representations , Massachusetts Institute , In Context Example Selection , Benchmarking Language Oriented Task Planners , Embodied Agents ,

Open-source training framework increases the speed of large language model pre-training when failures arise

Open-source training framework increases the speed of large language model pre-training when failures arise
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Rheinland Pfalz , United States , Mosharaf Chowdhury , University Of Michigan , Minsu Jang , Operating Systems Principles , Resilient Distributed Training , Large Models Using Pipeline Templates ,