Work

Domain-specific chatbots for science using embeddings

Year: 2023

Type: article

Abstract: We demonstrate how large language models (LLMs) can be adapted to domain-specific science topics by connecting them to a corpus of trusted documents.

Source: Digital Discovery

DOI: 10.1039/d3dd00112a

Author: Kevin G. Yager

Institutions: Brookhaven National Laboratory, Center for Functional Nanomaterials

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: U.S. Department of Energy, Office of Science, Basic Energy Sciences, Brookhaven National Laboratory

Awards: G1285306620, G1847291448, G241279073, G3262563802, G357145406, G5765906131, G7463374569

OpenAlex ID: W4387507766

FWCI: 2.529

Cites: 71

Cited by: 29

Related to: 10