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113th Year Practical Topics: Research on the Application of Large-Scale Language Model Technology for Unstructured Data Understanding

編輯群2024-05-24

Industry Category: Artificial Intelligence Application Service Industry

Industrial pain points:

  • Processing unstructured data often requires a lot of manual intervention, which can be time-consuming and error-prone. Since unstructured data covers a wide range of fields, when processing these data, the model must have cross-domain knowledge integration capabilities and be able to effectively capture contextual semantics to ensure the accuracy of response and analysis. In addition, when processing large amounts of data in real time, the model not only needs to have fast computing capabilities, but also needs to maintain a high level of accuracy and response speed. Otherwise, the efficiency of industrial decision-making or data analysis may be affected.

Import AI benefits:

  • It can automatically analyze various types of unstructured data, including company documents, news reports, and sentiment analysis of social media, etc., significantly improving the speed and accuracy of data processing. Through such automated data processing, enterprises can extract effective insights from huge amounts of information faster, thereby reducing labor consumption and improving the quality and efficiency of decision-making. This not only allows companies to respond to market changes more quickly, but also maintains flexibility and decision-making accuracy in a highly competitive environment, further promoting business development.
  • In addition, when this technology is applied to research institutions and academia, it can speed up the process of knowledge discovery, literature review and academic question and answer, assisting researchers to quickly screen out useful information, thereby significantly improving research efficiency and result transformation. Through such data analysis, researchers can find key research content in a shorter time and further promote academic progress.

Common AI technologies:

  • Open source programs, such as Hugging Face’s Transformer and Meta’s Fairseq.