Recently, Mita Technology announced that its AI search platform has launched a new research model - "think first and search later". The core of this innovative model is to let the AI model first propose a thinking framework and path, thereby laying the foundation for subsequent information integration and analysis. In this way, users can obtain the required information more efficiently, greatly improving research efficiency.
It is understood that the "think first and search" model adopts the collaborative architecture of "small model + big model". Specifically, the thinking framework and step disassembly tasks involving deep reasoning are handed over to DeepSeek R1, while information search and data integration are responsible for the self-developed model of the Seita. This way of division of labor and cooperation allows the Seita to search and analyze hundreds of web pages in just 2 to 3 minutes, showing extremely high work efficiency.
Compared with traditional research methods, professional researchers often take several days to collect and organize data. However, this new model of Secret Tower can complete shallow research in a short period of time, which is undoubtedly a boon for users who need to quickly collect information for preliminary analysis. For example, if a user wants to calculate the cost of manufacturing a planetary engine in "The Wandering Earth", the model will automatically formulate research steps and refer to 288 related documents to quickly draw conclusions.
It is worth mentioning that Mita Technology said that their research model is still being optimized and will add more functions in the future, such as code execution and numerical analysis, to further improve the research capabilities of AI. Through these efforts, Seta hopes to help more users obtain and analyze data accurately and efficiently in a rapidly changing information environment.