Task execution method, large model training method, device, and storage medium

A large model training method, comprising:

• training a pre-trained guidance large model using a sample information to obtain a guidance large model to be fine-tuned;
• inputting each first sample task description information into the guidance large model to be fine-tuned multiple times to generate a plurality of first sample guidance information for the first sample task description information;
• determining, for each first sample task description information, at least one positive sample and at least one negative sample according to the plurality of first sample guidance information for the first sample task description information;
• and
• fine-tuning the guidance large model to be fine-tuned according to the at least one positive sample and the at least one negative sample for the first sample task description information to obtain a guidance large model;
• wherein the guidance large model is configured to generate a guidance information according to a task description information in an input information, so as to input a current state information in the input information, the task description information, and the guidance information into a task execution agent to output a task execution result, and wherein the guidance information is configured to guide the task execution agent to execute a target task on a task object.

An electronic device, comprising:

• at least one processor;
• and
• a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are configured to, when executed by the at least one processor, cause the at least one processor to:
• acquire an input information for executing a target task, wherein the input information comprises a task description information and a current state information of a task object;
• input the task description information into a guidance large model to generate a guidance information;
• and
• input the current state information, the task description information, and the guidance information into a task execution agent to output a task execution result, wherein the guidance information is configured to guide the task execution agent to execute the target task on the task object.