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3results about How to "Prevent illegal use" patented technology

Multi-modal medical data encryption method and device based on large model, equipment and storage medium

The invention discloses a multi-modal medical data encryption method and device based on a large model, equipment and a storage medium, relates to the field of artificial intelligence, is applied to a cloud service layer carrying a target labeling large model, and comprises the steps of obtaining original multi-modal medical data and corresponding target identity data sent by edge end equipment corresponding to the cloud service layer; performing feature extraction on the target identity data to obtain a corresponding biological feature vector, generating a target dynamic key based on the biological feature vector by using a target dynamic key generation algorithm, and encrypting the original multi-modal medical data by using the target dynamic key to obtain corresponding encrypted medical data; and obtaining a target labeling result corresponding to the encrypted medical data by using the target labeling large model, and binding the biological feature vector with the target labeling result by using the target dynamic key so as to encrypt and store the target labeling result in a target database. According to the method and the device, the data annotation efficiency is improved while the privacy disclosure risk is reduced.
Owner:SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD

A method and system for multi-path scheduling and sub-agent generation in intelligent agency

PendingCN122285221Aprevent illegal useImprove execution efficiencyPathPingFlexible scheduling
This invention discloses a multi-path scheduling and sub-agent generation method and system for intelligent agents, belonging to the field of artificial intelligence. The method provides multiple mutually exclusive scheduling paths: a collaborative agent generation path distributes tasks to agents in the same process or terminal split-screen sessions through a delegation mechanism; a sub-agent derivation path achieves efficient sub-agent creation through context inheritance and hint cache sharing optimization; and a general agent scheduling path achieves flexible scheduling through rule filtering and definition matching. This invention implements hint cache sharing optimization for derivation paths, and by standardizing the processing of tool execution results in parent agent messages, it enables API request prefixes to achieve cache hits, significantly reducing the response time of the first token. It also supports features such as execution environment isolation, recursive derivation protection, and automatic background operation, providing an efficient and flexible scheduling solution for multi-agent collaboration of complex AI tasks.
Owner:HANGZHOU MAGIC BYTE TECHNOLOGY CO LTD