Shulou(Shulou.com)11/24 Report--

CTOnews.com, August 23 (Xinhua)-- Kunlun Wanwei today announced the official launch of Tiangong AI search, China's first search engine integrated with a large language model, and opened an internal test application.

▲ source Kunlun Wanwei official account, the following is the same as Kunlun Wanwei official introduction, the traditional search engine is based on keyword matching, that is, according to the keywords entered by the user to identify the search range, and match the huge amount of information that may be in line with the user's intention. The AI search based on the ability of large model is a kind of generative search, in which users can express their intentions clearly through natural language and get the answers after effective organization and refinement.

CTOnews.com learned from Kunlun Wanwei that the "follow-up" function of Tiangong AI search allows users to conduct in-depth exploration through more than 20 rounds of interaction on a question. The large model makes AI search have the ability to integrate, refine and concatenate information, so AI search can better deal with open problems. When dealing with knowledge and creative search, its experience and efficiency will be much better than traditional search engines.

Compared with traditional search engines, Tiangong AI search makes intention identification possible, and users can clearly express their intentions through natural and smooth conversational interaction, so as to get accurate, effective and personalized answers. For example, users can have Tiangong AI search to make itinerary planning.

Tiangong AI search adds a source index to all the answers to improve the reliability of the answers. At the same time, users can keep the search results of each round in Tiangong, so that they can check and trace them at any time, or they can share them with others with one click.

In addition, Tiangong AI search is about to have image, voice and other multimodal search capabilities, to a greater extent to release productivity and improve user efficiency.

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