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Conventional LLM-document interactions typically follow retrieval-augmented generation patterns: users upload files, the system fetches relevant segments during queries, and generates responses. While functional, this approach forces the AI to reconstruct understanding from foundational elements with each inquiry. No cumulative learning occurs. Complex questions demanding synthesis across multiple documents require the system to repeatedly locate and assemble pertinent fragments. Systems like NotebookLM, ChatGPT file uploads, and standard RAG implementations operate this way.
根据总检察院的诉讼，法院已对该家族及相关人员资产实施冻结。涉案的15家企业包括农业公司和"拉扎列夫斯科耶"疗养院。