Abstract: A data processing method is provided, applied to the field of text generation. The method includes: obtaining a first prompt; obtaining a first output by using a first LLM based on the first prompt; constructing a second prompt based on the first output and the first prompt, where the second prompt indicates to improve the first output when the first prompt is determined as a prompt; and obtaining a second output by using the first LLM based on the second prompt, where the second output is an improved first output. In this disclosure, self-learning and evolution can be implemented based on an output self-correction process of the LLM without completely depending on human supervision, or a more accurate reply can be obtained for a highly complex task.

Abstract: Embodiments of the disclosure relate to a method, an apparatus, a device and a computer readable storage medium for information processing. The method provided by the disclosure includes: generating, in response to receiving an input message, a first instruction associated with a target interface with a model and based on the input message and the first image of the target interface; triggering execution of the first instruction in the target interface to determine a second image of the target interface; generating at least one subsequent instruction associated with the target interface with the model and based on the second image and the input message; and triggering execution of at least one subsequent instruction in the target interface.