The expected outcomes of this research include: 1) Proposing a design framework for dynamic knowledge bases suitable for dialogue systems, providing a solution to the problem of cognitive rigidity during long-term use; 2) Validating the advantages of the dynamic updating and knowledge fusion mechanism in improving system adaptability and stability, offering a basis for practical applications; 3) Identifying the limitations of the mechanism and proposing optimization directions, promoting further development in related fields. These outcomes will help improve the intelligence and adaptability of dialogue systems, advance the application of AI systems in complex scenarios, and provide experimental data and application scenarios for the further optimization of OpenAI models.
Research
Dynamic knowledge bases and experimental validation for improved systems.