Method for evaluating large model, electronic device and computer readable storage medium

An electronic device, comprising:

• one or more processors;
• and
• a memory configured to store one or more computer programs,
• wherein the one or more processors are configured to execute the one or more computer programs to:
• evaluate a response information of each of M large language models for an input instruction based on a preset evaluation rule, so as to obtain a first evaluation information for each response information, where M is a positive integer greater than 1;
• evaluate, in response to the first evaluation information for the M large language models being consistent with each other, each response information in a plurality of evaluation dimensions, so as to obtain a second evaluation information for each response information;
• and
• determine an evaluation result representing a responsiveness of each of the M large language models, according to the second evaluation information for each response information.

A computer readable storage medium storing computer programs or instructions, wherein the computer programs or instructions, when executed by a processor, cause the processor to:

• evaluate a response information of each of M large language models for an input instruction based on a preset evaluation rule, so as to obtain a first evaluation information for each response information, where M is a positive integer greater than 1;
• evaluate, in response to the first evaluation information for the M large language models being consistent with each other, each response information in a plurality of evaluation dimensions, so as to obtain a second evaluation information for each response information;
• and
• determine an evaluation result representing a responsiveness of each of the M large language models, according to the second evaluation information for each response information.