主动涌现式 AI 记忆架构:基于物质记忆择优原理的 AI 软件推理范式革新
The retrieval-augmented generation (RAG) systems for large language models suffer from inherent software limitations. Conventional AI inference adopts a model-centric scheduling paradigm, where the large model undertakes all tasks including knowledge matching, correlation mining and memory filtering. This leads to shar...