AI Interactive Search Lub Cav Tshawb Nrhiav los ntawm Baidu Sousuo

Qhov qauv tsim AI Interactive Search Lub Cav Tshawb Nrhiav los ntawm Baidu Sousuo yog tus yeej muaj nqis heev ntawm qhov khoom plig 2024 A' Design Award Kub hauv Pawg Sib Tw Tsim Software.

KubSoftware· 2024

AI Interactive Search Lub Cav Tshawb Nrhiav

los ntawm Baidu Sousuo

Tus Neeg Siv: Baidu Online Network Technology (Beijing) Co., Ltd.

Tus Yeej A' Design Award Kub hauv Pawg Software

129,848

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #158703

Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog AI Interactive Search Lub Cav Tshawb Nrhiav

AI Interactive Search yog ib lub cav tshawb nrhiav uas teb cov lus nug los ntawm kev sib tham. Semantic search technology thiab cov qauv lus loj (large language models) raug muab sib txuas ua ke los teeb dua cov txiaj ntsig tshawb nrhiav thiab hloov dua tus qauv kev sib cuam tshuam. Cov npoo tshawb nrhiav ib txwm muaj raug hloov los ntawm kev sib tham ntau zaus, yog li cov neeg siv tuaj yeem kho lawv cov lus nug thiab ua tiav tej hauj lwm ib kauj ruam zuj zus. Kev nkag thiab tso tawm ntau hom (multi-modal input and output) ua rau lub cav muaj peev xwm nyeem, pom thiab mloog, uas txhawb kev qhia tawm tej kev xav tau tshiab. Kev taug qab cov chaw muab xov xwm uas ntseeg tau raug ntxiv rau kom tsim kev ntseeg siab thiab pab cov neeg siv nrhiav tau cov lus teb txaus siab sai sai.

Qhov Lees Paub

Txog A' Design Award Kub

AI Interactive Search Lub Cav Tshawb Nrhiav yog tus yeej ntawm A' Design Award Kub, ib qho kev lees paub muaj meej mom heev uas muab rau cov qauv tsim qib ib, zoo kawg nkaus thiab tshwj xeeb. Cov neeg yeej Kub yog cov khoom tsim tshiab heev, pom deb heev thiab ci ntsa iab uas qhia txog kev txawj ntse, kev txawj thiab lub zog ntawm cov kws tsim qauv. AI Interactive Search Lub Cav Tshawb Nrhiav xav tias yuav yog ib qho kev tsim uas tau txais kev qhuas ntau, tsim kev nyiam tshiab thiab loj uas ua rau muaj nqi tsis tau muaj dua. Cov qauv tsim yeej A' Design Award Kub no yog ib qho haujlwm zoo kawg nkaus thiab muaj kev hwm uas pab tau ntau thiab nthuav dav ciam teb ntawm kev kos duab, kev tshawb fawb, kev tsim qauv thiab thev naus laus zis. AI Interactive Search Lub Cav Tshawb Nrhiav ua rau muaj kev xav tau heev, txhawb kev mob siab, txhawb kev tsim tshiab thiab ua rau peb xav tsis thoob.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: You ask, it answers. Utilizing semantic search technology and large language models, it reorganizes search results with dual capabilities to reconstruct the interactive experience. It helps us solve problems and accomplish tasks through conversation, replacing traditional search boxes with multi-turn dialogues.
A multi-modal input and output experience makes search as if it had senses, capable of reading, seeing, and listening, allowing the expression of new demands.
Qhov Loj & Ntim: Multi-turn conversation-style new search, with endless demands for expansion.
Compared to the traditional single-turn retrieval model where users have to spend a long time collecting answers, in the A-era new search scenario, you can directly obtain satisfactory answers through continuous multi-turn conversations.
Multi-turn conversation-style search.
Thev Naus Laus Zis Tsim Khoom: Combining large model technology to efficiently organize and present result content and forms. Establishing trust with users through credible source tracking to help users quickly obtain satisfactory answers.
Kev Txhawb Siab: Combining large model technology to efficiently organize and present result content and forms. Establishing trust with users through credible source tracking to help users quickly obtain satisfactory answers.
Cov Tswv Cuab Pab: Shi Yujie, Liao Yi, Liu Xiaoyue, Guo Hexing, Jiang Shuqi, Wang Yaqun, Xu Ziru, Ma Kexin, Li Zhuoning, Shi Han

Nyeem Tsab Xov Xwm

Txhawb Nqa