Quark's large model helps improve academic research efficiency, and its four major advantages improve the accuracy of knowledge

When rigorous academic research and innovative large-scale model technology are combined, what kind of sparks will be created? Recently, the Quark large model has become the "student master" among domestic large models with its excellent performance as soon as it was launched. At the "Large Model Application Scenario Seminar" recently hosted by the China Association for Science and Technology, the efficiency improvement potential of Quark's large model in four major scenarios, including fast reading and creation and polishing, aroused heated discussions and expectations among scientific and technological workers. . Currently, large model technology is in a stage of rapid development. To promote large models to the application level in the academic field, it has become an industry consensus that the problem of knowledge correctness must first be solved. With long-term accumulation in search business and intelligent technology, the recently released Quark model can greatly improve the accuracy of knowledge by taking advantage of data, platform, knowledge enhancement and other advantages. In vertical fields such as medical care, Quark has reduced the hallucination rate to less than 5%, becoming the leader among domestic large models. Jiang Guanjun, head of Quark Technology, pointed out at the seminar that the application of large models in the academic field requires efforts from two directions. First of all, it is necessary to have high-quality data samples and knowledge bases to better stimulate large model capabilities. Second, focus on the in-depth knowledge required for scientific research and establish a set of methods and mechanisms based on large model technology. These require the joint efforts of the platform and all sectors of society. In daily academic research, the large quark model is expected to play a role in four types of scenarios. First of all, in the data collection process, large models can obtain knowledge and information more accurately and have the ability to find the precise data needed by scientific researchers. Secondly, in terms of fast reading, large models can quickly refine 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 large models have a better translation speed and quality than traditional methods. Finally, in the process of creation and polishing, large models can better inspire the author and polish the article. In mid-November, Alibaba Intelligent Information Business Group released a full-stack self-developed Quark model with hundreds of billions of parameters, which will be used in many scenarios such as general search, medical health, education and learning, and workplace office. In the two authoritative evaluation lists of C-Eval and CMMLU, the Quark large model also ranked first in both lists, further demonstrating the improvement of domestic large models in data fine-tuning and model framework.

It is reported that the advantages of Quark Large Model come from the strength of intelligent technology and search business foundation. Jiang Guanjun believes that Quark Large Model has four major advantages:

1. The most comprehensive general knowledge data and industry knowledge data, as well as knowledge understanding and evaluation system;
2. Thanks to the accumulation of search technology systems, it has the model training capability of a 100-billion-level parameter platform;
3. An intelligent technology production and transportation team with long-term experience in intelligent products;
4. Has industry-wide knowledge enhancement technology system and capabilities.
   The above advantages also play a key role in improving the accuracy of knowledge.
   In addition, a series of intelligent tools including Quark Network Disk, Quark Scanner, etc., after adding large model capabilities, can further help scientific researchers to better complete academic research from dimensions such as data storage and data entry. In the field of rigorous and truth-seeking scientific research, Quark will give full play to its ability in knowledge accuracy and intelligent tools to become a performance-improving assistant for scientific researchers.
   "We use AI to assist research, and the current efficiency improvement is 9 times. In the past, it took us 6 months to make a report. Now it only takes 20 days to make a report." Professor and Ph.D., School of Journalism, Tsinghua University After testing Quark’s large model, student tutor Shen Yang said that an important measure for large models to reduce error rates is to collaborate with search engines. Quark has accumulated a lot of data and knowledge in search scenarios, which is very helpful in reducing the error rate of large models.

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