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2025-01-19 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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What kind of spark will be produced when rigorous academic research is combined with innovative large model technology? A few days ago, as soon as the quark large model was launched, it became the "high achiever" of the domestic large model with its excellent performance. At the "Symposium on Application scenarios of large models" recently sponsored by the China Association for Science and Technology, the efficiency improvement potential of quark models in four scenarios such as fast reading and creative retouching has aroused heated discussion and expectation among scientific and technological workers.
At present, the large model technology is in the stage of rapid development, in the academic field to promote the large model to the application level, first of all to solve the problem of knowledge correctness has become the consensus of the industry. With the long-term accumulation in search business and intelligent technology, the recently released quark model can greatly improve the correctness of knowledge by making use of the advantages of data, platform, knowledge enhancement and so on. In vertical fields such as medicine, quark has reduced its hallucination rate to less than 5%, making it one of the best large models in China.
Jiang Guanjun, head of quark technology, pointed out at the seminar that the application of large models in the academic field needs to be applied in two directions. First of all, it is necessary to have high-quality data samples and knowledge base to better stimulate the ability of large models. Second, around the in-depth knowledge needed by the scientific research institute, establish a set of methods and mechanisms based on the large model technology. All these require the joint efforts of the platform and all sectors of the community.
In the daily academic research, the quark large model is expected to play a role in four kinds of scenarios. First of all, in the process of data collection, the large model can obtain knowledge and information more accurately, and has the ability to find the accurate data needed by researchers. Secondly, in fast reading, the big model can quickly extract the core ideas and methods in professional journals and magazines. Thirdly, in content translation, many documents need to be translated more accurately and professionally, and the big model is better than the traditional way in terms of translation speed and quality. Finally, in the process of creative embellishment, the big model can better inspire the author and embellish the article.
In mid-November, Alibaba Intelligent Information Group released a full-stack self-developed quark model with hundreds of billions of parameters, which will be applied to many scenarios such as general search, medical and health care, education and learning, workplace office, and so on. In the two authoritative evaluation lists of C-Eval and CMMLU, the quark big model has also become the first in the double list, further demonstrating the improvement of the ability of domestic large models in data fine tuning and model framework.
It is reported that the advantages of the quark large model come from the strength of intelligent technology and the foundation of the search business. Jiang believes that the quark large model has four advantages: first, the most comprehensive general knowledge data and industry knowledge data, as well as knowledge understanding and evaluation system; second, thanks to the accumulation of search technology system, it has the model training ability of hundreds of billions of parameter platforms. Third, the intelligent technology production and transportation team with long-term intelligent product experience. Fourth, have the knowledge of the whole industry to enhance the technology system and capacity. The above advantages also play a key role in improving the correctness of knowledge.
In addition, a series of intelligent tools, including quark network disk, quark scanning king and so on, can further help researchers to complete academic research better from the dimensions of data storage and data entry after adding large model capability. In the rigorous and truth-seeking field of scientific research, quarks will give full play to their abilities in knowledge correctness and intelligent tools, and become effective assistants for researchers.
"We use AI to assist in research, and the current efficiency is nine times higher. In the past, it took us six months to make a report. Now it only takes 20 days to do a report." Shenyang, a professor and doctoral supervisor at the School of Journalism at Tsinghua University, said after testing the quark model that an important measure to reduce the error rate is to collaborate with search engines. Quarks accumulate a lot of data and knowledge in search scenarios, which is of great help to reduce the error rate of large models.
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