Abstract: A method for training a question answering large language model is performed by an electronic device, including: obtaining a candidate question answering large language model to be trained, and a corresponding sample question; obtaining output answers to the sample question by invoking a model capability of the candidate question answering large language model, and obtaining target answer results to the sample question by sampling the output answers; obtaining a target distribution description data of the target answer results; and obtaining an update gradient of the candidate question answering large language model based on the target distribution description data, and training the candidate question answering large language model based on the update gradient to obtain a target question answering large language model.