arXiv Open Access 2023

Utilizing Large Language Models for Natural Interface to Pharmacology Databases

Hong Lu Chuan Li Yinheng Li Jie Zhao

Lihat Sumber

Abstrak

The drug development process necessitates that pharmacologists undertake various tasks, such as reviewing literature, formulating hypotheses, designing experiments, and interpreting results. Each stage requires accessing and querying vast amounts of information. In this abstract, we introduce a Large Language Model (LLM)-based Natural Language Interface designed to interact with structured information stored in databases. Our experiments demonstrate the feasibility and effectiveness of the proposed framework. This framework can generalize to query a wide range of pharmaceutical data and knowledge bases.

Topik & Kata Kunci

cs.CL cs.AI cs.DB

Penulis (4)

Hong Lu

Chuan Li

Yinheng Li

Jie Zhao

Format Sitasi

APA MLA BibTeX

Lu, H., Li, C., Li, Y., Zhao, J. (2023). Utilizing Large Language Models for Natural Interface to Pharmacology Databases. https://arxiv.org/abs/2307.15717

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓