PROVIDING GENERATIVE ANSWERS INCLUDING CITATIONS TO SOURCE DOCUMENTS

    公开(公告)号:US20250103640A1

    公开(公告)日:2025-03-27

    申请号:US18472190

    申请日:2023-09-21

    Applicant: Google LLC

    Abstract: Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

    REAL-TIME ANTICIPATION OF USER INTEREST IN INFORMATION CONTAINED IN DOCUMENTS IN CLOUD STORAGE

    公开(公告)号:US20250103867A1

    公开(公告)日:2025-03-27

    申请号:US18472178

    申请日:2023-09-21

    Applicant: Google LLC

    Abstract: Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

    PROVIDING PERSONALIZED PROMPTS TO USERS BASED ON DOCUMENTS IN CLOUD STORAGE

    公开(公告)号:US20250103827A1

    公开(公告)日:2025-03-27

    申请号:US18472167

    申请日:2023-09-21

    Applicant: Google LLC

    Abstract: Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

    PROCESSING DOCUMENTS IN CLOUD STORAGE USING QUERY EMBEDDINGS

    公开(公告)号:US20250103826A1

    公开(公告)日:2025-03-27

    申请号:US18472156

    申请日:2023-09-21

    Applicant: Google LLC

    Abstract: Systems and methods include pre-processing documents in cloud storage using query embeddings, providing personalized prompts to users based on documents in cloud storage, real-time anticipation of user interest in information contained in documents in cloud storage, and providing generative answers including citation to source documents in cloud storage. The system and methods generate generative machine learning model (MLM) prompts based on document portions of documents in a cloud-based content management platform. The systems and methods use the generative MLM to generate responses to prompts, and the responses include citations to the document portions used to generate the responses in order for users to verify the responses.

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