FIELD: physics.
SUBSTANCE: invention relates to a method and a system for generating requests for accessing a neural network language model. Method is implemented using a processor and a data storage device and comprises steps of receiving a user request for accessing a neural network language model and sending it to a search engine for processing; relevant objects found based on the search engine processing results and the initial user request are used when generating requests for accessing the neural network language model, wherein the system part of the request is generated and sent to the neural network language model, indicating the conditions for executing the initial user request; then based on the relevant objects found based on the search system processing results, the user request parts are sequentially formed and sent to the neural network model, wherein the neural network language model sequentially generates a response to each user part of the request, which is taken into account with each subsequent formation and sending of the user part of the request; generating and sending to the neural network language model a final iteration of the request for accessing the neural network language model, which contains the system part of the request, all previous generated user parts of the request and responses to them of the neural network language model.
EFFECT: high relevance of responses to the neural network language model due to iterative generation of requests to the neural network language model using results of searching for information from the context of found documents and previous responses of the neural network language model.
6 cl, 5 dwg
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Authors
Dates
2024-09-17—Published
2024-04-24—Filed