Recently, Mita Technology announced the launch of a new research model on its AI search platform — "Think First, Search Later." The core of this innovative model is to allow the AI model to first propose a framework and path for thinking, thus laying the foundation for subsequent information integration and analysis. Through this approach, users can obtain the information they need more efficiently, significantly enhancing research productivity.
It is reported that the "Think First, Search Later" model employs a collaborative architecture of "small model + large model." Specifically, tasks involving deep reasoning frameworks and step breakdowns are handled by DeepSeek R1, while information searching and data integration are managed by Mita's self-developed model. This division of labor enables Mita to complete searches and analyses of hundreds of web pages in just 2 to 3 minutes, demonstrating extremely high work efficiency.
Compared to traditional research methods, professional researchers often require several days to collect and organize materials. However, Mita's new model can complete shallow research in a short time, which is undoubtedly a boon for users who need to quickly gather information for preliminary analysis. For example, if a user wants to calculate the cost of manufacturing a planetary engine featured in "The Wandering Earth," the model will automatically formulate research steps and reference 288 related documents to quickly reach a conclusion.
It is worth mentioning that Mita Technology stated that their research model is still continuously being optimized, and more features, such as code execution and numerical analysis, will be added in the future to further enhance the AI's research capabilities. Through these efforts, Mita hopes to assist more users in accurately and efficiently obtaining and analyzing data in a rapidly changing information environment.
