Annotation method for large language model

An electronic device, comprising:

• one or more processors;
• a memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:
• obtaining a plurality of response texts that are generated by a large language model for a request text and that meet a difference requirement;
• obtaining a plurality of scores corresponding to the plurality of response texts, wherein each score of the plurality of scores indicates a degree to which a response text corresponding to the score in the plurality of response texts matches the request text;
• and
• obtaining an annotated text for at least one response text of the plurality of response texts based on the plurality of scores, wherein the annotated text is used to adjust a parameter of the large language model.

A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform processing comprising:

• obtaining a plurality of response texts that are generated by a large language model for a request text and that meet a difference requirement;
• obtaining a plurality of scores corresponding to the plurality of response texts, wherein each of the plurality of scores indicates a degree to which a corresponding response text in the plurality of response texts matches the request text;
• and
• obtaining an annotated text for at least one of the plurality of response texts based on the plurality of scores, wherein the annotated text is used to adjust a parameter of the large language model.