Feb. 20, 2024, 5:47 a.m. | Hansle GwonINMED DATA, Seoul, Republic of Korea, Imjin AhnINMED DATA, Seoul, Republic of Korea, Hyoje JungDepartment of Information Medicine, Asan Med

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.11883v1 Announce Type: new
Abstract: In this paper, we introduce InMD-X, a collection of multiple large language models specifically designed to cater to the unique characteristics and demands of Internal Medicine Doctors (IMD). InMD-X represents a groundbreaking development in natural language processing, offering a suite of language models fine-tuned for various aspects of the internal medicine field. These models encompass a wide range of medical sub-specialties, enabling IMDs to perform more efficient and accurate research, diagnosis, and documentation. InMD-X's versatility …

abstract arxiv collection cs.cv development doctors groundbreaking language language models language processing large language large language models medicine multiple natural natural language natural language processing paper processing type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US