Jan. 30, 2024, 9 a.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

Deploying dense retrieval models is crucial in industries like enterprise search (ES), where a single service supports multiple enterprises. In ES, such as the Cloud Customer Service (CCS), personalized search engines are generated from uploaded business documents to assist customer inquiries. The success of ES providers relies on delivering time-efficient searching customization to meet scalability […]


The post This AI Paper from China Introduces DREditor: A Time-Efficient AI Approach for Building a Domain-Specific Dense Retrieval Model appeared first on MarkTechPost …

ai paper ai shorts applications artificial intelligence building business ccs china cloud customer customer service documents domain editors pick enterprise enterprises enterprise search generated industries multiple paper personalized retrieval search service staff tech news technology

More from www.marktechpost.com / MarkTechPost

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A