METHOD AND SYSTEM FOR PROVIDING DOMAIN-ADAPTIVE CHATBOT SERVICES BASED ON LARGE LANGUAGE MODELS

原文（中国語）

A method for providing a domain-adaptive chatbot service based on a large language model (LLM) is performed by a computing device including a memory and a processor, and includes generating a plurality of domain-specific structured training prompts, each of which corresponds to a respective one of a plurality of different domains and includes a plurality of labeled intent sample sentences corresponding to the respective one domain, training the LLM based on the plurality of training prompts, receiving a user input query, generating a structured inference prompt including a plurality of labeled intent sample sentences corresponding to a domain of the user input query and the user input query, inputting the inference prompt into the trained LLM, and providing a response to the user input query according to the intent of the user input query determined by the trained LLM based on the inference prompt.