公开(公告)号：US20250117668A1

公开(公告)日：2025-04-10

申请号：US18987988

申请日：2024-12-19

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Xinran He ,  Xianwei Xue ,  Bolei He ,  Kunbin Chen ,  Jinchang Luo ,  Ruigao Li

IPC: G06N3/096 ,  G06N3/0475

Abstract: A method for model training based on a large model includes: determining a first large model as a teacher model of a language model, and performing distillation learning on the language model based on the first large model; inputting a first prompt text into the language model, and obtaining a plurality of first response texts for the first prompt text output by the language model; determining a reference response text for the first prompt text from the plurality of first response texts; and training the language model based on the reference response text for the first prompt text.

公开(公告)号：US20220365941A1

公开(公告)日：2022-11-17

申请号：US17811716

申请日：2022-07-11

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Qiutong Pan ,  Ruigao Li ,  Yanan Li ,  Bolei He

IPC: G06F16/2457 ,  G06F16/215 ,  H04L51/04

Abstract: The disclosure provides a method for searching an instant messaging object, an electronic device and a storage medium. The method includes: receiving a search request of a first object, and determining a type of the search request; obtaining at least one recall set of the first object based on a client-side search engine in an instant messaging system in response to the type of the search request being a first type; obtaining at least one candidate object corresponding to a search keyword in the search request based on the search keyword and the at least one recall set; obtaining feature information of each candidate object; and responding to the search request by sorting the at least one candidate object based on the feature information.