This invention discloses an intelligent question-answering cross-validation
system and method based on parallel invocation of multiple AI models, belonging to the field of
artificial intelligence interaction technology. The
system includes a user-end module, a
request distribution module, a multi-AI interface
adaptation module, a result aggregation and comparison module, an output presentation module, a load balancing and
rate limiting avoidance module, and a terminal
adaptation module. The method includes steps such as user request input, request
standardization and distribution, multi-model parallel response, result normalization and comparison, credibility assessment and
annotation, and structured result output. This invention solves the problems of illusion and information bias caused by single AI models through parallel invocation and cross-validation of
multiple models, thereby improving the credibility of answers. It employs
virtual identity mapping and multi-account
polling to avoid
rate limiting and blocking, adapts to all terminals, operating systems, and web terminals, and is compatible with online cloud invocation and offline text comparison, building a technical barrier covering all scenarios. It is applicable to multiple industries such as scientific research, law, investment, and healthcare, and has the advantages of high efficiency, stability, and reliability.