The expected outcomes of this research include: 1) Proposing a cognitive science-based design framework for attention mechanisms, providing innovative solutions for the design of AI models; 2) Validating the advantages of this mechanism in enhancing the task performance and computational efficiency of AI models, offering a basis for practical applications; 3) Identifying key technical bottlenecks in the integration of cognitive science and AI and proposing optimization strategies, promoting further development in related fields. These outcomes will help improve the performance of AI models in handling complex tasks, advance the deep integration of cognitive science and AI, and provide experimental data and application scenarios for the further optimization of OpenAI models.
Attention Mechanisms
Analyzing and validating AI attention mechanisms through experimental research.