DATA PERMISSIONED LANGUAGE MODEL DOCUMENT SEARCH

    公开(公告)号:US20240354436A1

    公开(公告)日:2024-10-24

    申请号:US18505912

    申请日:2023-11-09

    CPC classification number: G06F21/6227 G06F16/3344 G06F16/3347

    Abstract: Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for searching a large corpus of data. A computer-implemented method may include: receiving a first user input comprising a natural language query; vectorizing the first user input into a query vector; executing, using the query vector, a similarity search in a document search model to identify one or more similar document portions, where the document search model includes a plurality of vectors corresponding to a plurality of portions of a set of documents; generating a first prompt for a large language model (“LLM”), the first prompt including at least the first user input, and the one or more similar document portions; transmitting the first prompt to the LLM; receiving a first output from the LLM in response to the first prompt; and providing, via a user interface, the first output from the LLM.

    AGENT OPS FRAMEWORK
    4.
    发明申请

    公开(公告)号:US20250110786A1

    公开(公告)日:2025-04-03

    申请号:US18794966

    申请日:2024-08-05

    Abstract: Computer-implemented systems and methods are disclosed, including systems and methods for automatically solving computational tasks or problems. A computer-implemented method may include: providing an agent service that utilizes a plurality of agents to process one or more tasks; receiving, by a first agent, a request to handle a first task; obtaining, by the first agent, a first accessory to handle the first task; assigning, by the first agent, at least a portion of the first task to a second agent; sharing, by the first agent, the first accessory to the second agent; and processing, by the second agent, at least the portion of the first task using the first accessory to generate a processing result.

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