Small sample fine-turning method and system and related apparatus

Abstract

The present application relates to the technical field of computers. Provided is a small sample fine-turning method, the method comprising: inputting a data set, and forming an input sample according to a fixed template; constructing a candidate tag word set and a candidate prompt template set; by means of reinforcement learning, searching an optimal tag word corresponding to the input sample from the candidate tag word set, and a prompt template corresponding to the input sample from the candidate prompt template set; and outputting a mapping relationship of the optimal tag word and an optimal prompt template format corresponding to the prompt template.

Dependencies are inferred from the claim text.