This invention relates to the technical fields of
machine question answering, and provides a human-like AI
robot intelligent dialogue method and
system. The method includes: in an idle state, calling a local lightweight large
language model to determine the semantic validity of the speech-recognized text; if the determination is valid, extracting voiceprint features to establish a conversation and switching to a working state; in the working state, determining the semantic priority of the speech-recognized text, with high-priority text immediately interrupting the current task, and low-priority text inserted into a waiting
queue for sequential response. This invention overcomes the shortcomings of existing technologies, such as single
interaction mode, poor anti-interference ability, and inability to intelligently
handle concurrent requests, achieving natural, fluent, stable, and reliable intelligent dialogue interaction in complex environments. The dual-
model architecture of a local lightweight large
language model and a cloud-based large
language model ensures real-time semantic determination and low latency, guarantees the intelligence and richness of the generated responses, and achieves a balance between efficiency and effectiveness.