A design of monitoring service platform for computing power industry based on large language model technology
This paper proposes a design of monitoring service platform for computing power industry based on large language model technology, aiming to provide comprehensive support for intelligent decision-making in monitoring the development of the computing power industry by efficient technical means. The platform adopts a layered architecture design, with a bottom layer supported by a domestic large model base with 10 billion parameters, while the upper layer serves as a business application system, providing computing power development insights, intelligent analysis assistance, and other services.
large language modelvector databasecomputing power industry monitoring
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NSTL
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