公开(公告)号：US20240281446A1

公开(公告)日：2024-08-22

申请号：US18444078

申请日：2024-02-16

Applicant: Snowflake Inc.

Inventor： Rahil Bathwal ,  Daniel Fernando Campos ,  Ashwin Devaraj ,  Seth Michael Li ,  Yash Pande ,  Vivek Raghunathan ,  Rajhans Samdani ,  Danmei Xu

IPC: G06F16/2457 ,  G06F16/248

CPC classification number: G06F16/24575 ,  G06F16/248

Abstract: An advanced search system leverages a pre-trained large language model to enhance user query responses. The system, equipped with hardware processors, a search query via an interface and accesses a pre-trained large language model designed to respond to the search query. The system fine-tunes the model to generate a task-specific generative model. The system employs the task-specific generative model to generate a search result to the search query and analyzes the search result based on a performance metric associated with the task-specific generative model. The system refines the task-specific generative model based on the analyzing of the search result.

公开(公告)号：US20240281487A1

公开(公告)日：2024-08-22

申请号：US18443838

申请日：2024-02-16

Applicant: Snowflake Inc.

Inventor： Rahil Bathwal ,  Daniel Fernando Campos ,  Ashwin Devaraj ,  Seth Michael Li ,  Muhua Ngan ,  Vivek Raghunathan ,  Sridhar Ramaswamy ,  Rajhans Samdani ,  Chiu Wah So ,  Nitya Kannan Tarakad

IPC: G06F16/9538 ,  G06F16/93 ,  G06F16/955

CPC classification number: G06F16/9538 ,  G06F16/93 ,  G06F16/9558

Abstract: Enhanced search results are generated using multi-document summarization. A multi-document summarization system receives a search query from a user and retrieves a plurality of search result documents based on the search query. The summarization system generates a summary of each of the plurality of search result documents using distinct per-document summarization machine learning models, where the distinct per-document summarization machine learning models are trained on a training dataset. The summarization system synthesizes the summary of each of the plurality of search result documents into a single-consolidated answer responsive to the received search query. The multi-document summarization system formats the single-consolidated answer to include citations to the plurality of search result documents.