Network model training method and device for performing interactive behavior prediction

The invention provides a training method and device for a network model used for interactive behavior prediction, and the method comprises the steps: obtaining a sample behavior content sequence, and a prompt text corresponding to the sample behavior content sequence; wherein a prompt result in the prompt text and a prediction result output by a to-be-trained network model are used for representing an interaction behavior prediction result corresponding to the sample behavior content sequence; inputting the sample behavior content sequence and the prompt text corresponding to the sample behavior content sequence into the to-be-trained network model to obtain a prediction result corresponding to the sample behavior content sequence; and training the to-be-trained network model on the basis of true value data corresponding to the prediction result and determined when the prompt text is acquired, and the prediction result, so as to perform interaction behavior prediction on the basis of the trained network model