WebSailor's innovative strengths are realized in three main technological dimensions:
- Depth of task understandingDUPO algorithm (Dynamic Uncertainty Policy Optimization) combined with 72B parameter model can automatically disassemble complex queries. For example, when dealing with "the impact of AI policies on the semiconductor industry in the Yangtze River Delta in 2025", we will search for policy documents, industry reports, enterprise news and other information in phases, and then establish a correlation analysis.
- Information processing methodsWhile traditional search engines return discrete links, WebSailor's reinforcement learning-based WebDancer component simulates a human's browsing trajectory, performs clicks, pages, forms, and other actions, and ultimately generates structured reports with semantic annotations.
- Performance ScalabilityThe open source architecture supports localized deployment and vertical fine-tuning, and enterprises can inject private knowledge bases. On the AliCloud FunctionAI platform, the 72B version can be deployed in just 10 minutes, and the response speed is 7 times faster than training similar models by oneself.
According to the BrowseComp-zh benchmark, WebSailor achieves an accuracy of 89.31 TP3T on Chinese complex Q&A tasks, exceeding the 72.11 TP3T of fragmented answers of ordinary search engines.
This answer comes from the articleWebAgent: An Intelligent Web Information Search and Processing ToolThe
May not be reproduced without permission:AI productivity tools " What are the technical advantages of WebSailor over traditional search engines?
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