Research on Artificial Intelligence Digital System Based on GPT Deep Learning Model

A GPT deep neural network algorithm with good function and strong practicability is proposed. First, complete the overall system framework and system database design. Through the design of data processing module and recommendation algorithm module, the main functional modules of the system are designed and implemented. Deep residual learning neural network is used to continuously train samples to improve the accuracy of product design judgment. Finally, the GPT based deep neural network intelligent product development decision method is tested and simulated to verify the correctness and feasibility of the method.