Feb. 1, 2024, 4:04 a.m. | Nikhil

MarkTechPost www.marktechpost.com

Existing web agents face limitations that stem from the fact that these agents often rely on a single input modality and are tested in controlled environments, like web simulators or static snapshots, which do not accurately reflect the complexity and dynamic nature of real-world web interactions. This significantly restricts their applicability and effectiveness in real-world […]


The post Meet WebVoyager: An Innovative Large Multimodal Model (LMM) Powered Web Agent that can Complete User Instructions End-to-End by Interacting with Real-World Websites …

agent agents applications artificial intelligence editors pick environments face language model large language model limitations lmm machine learning multimodal multimodal model staff stem tech news technology web websites world

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Reporting & Data Analytics Lead (Sizewell C)

@ EDF | London, GB

Data Analyst

@ Notable | San Mateo, CA