Abstract

Rapid progress in large scale language models (LLM) has led to a wide range of business sectors AI You can develop a new frontier of applications. GPT-3 And BERT Both have revolutionary capabilities in natural language understanding, structured knowledge representation, and task specific adaptation. But LLM To implement and extend a base solution successfully within a company, it will have problems for the company. It is the maximization of the utility of its own data assets, securing data security and privacy, maintaining consistent knowledge representation, optimizing resource allocation, and dealing with a variety of business scenarios.
In order to address these issues, the enterprise scale LLM We propose a centralized knowledge base framework for introduction. The unique scalable architecture of the framework allows companies to use their own data resources safely and efficiently, in various business scenarios LLM Drive solutions can be enhanced and reusable. This framework has proven to realize a large Merritt in resource utilization, such as reduction of computational overhead, rapid solution implementation, and reusability of knowledge. These technological advances eventually lead to concrete business Merritt, such as improving investment returns, shortening the development cycle, and improving user experience. A comprehensive and practical approach to the introduction of centralized knowledge base (LLM) is the enterprise AI Provide valuable insights into the development and help businesses draw the value of these innovative technologies.