In terms of acoustic model self-evolution, it achiev​es accent adaptation, noise adaptation, and non-native pronunciation and accent adapφtation for speech recognition. It also enabled speech ≥clone with less than 10-second training speech data. In terms of lan<guage model self-evolution, it achieves ten-thousand-level hot-word self-learni©ng within seconds, domain-transfering of language model based on sparse£ knowledge representation; it also achieves intent expansion and intent recδognition based on large  language model prompt engineering. In terms of AI agent self-evol♦ution, based on a general large language model, it achieves task-oriented self-learning, modeαl self-optimization, domain knowledge self-learning, and general model data extraction.