all AI news
Do Large Language Models understand Medical Codes?
March 19, 2024, 4:53 a.m. | Simon A. Lee, Timothy Lindsey
cs.CL updates on arXiv.org arxiv.org
Abstract: The overarching goal of recent AI research has been to make steady progress towards achieving Artificial General Intelligence (AGI), prompting the evaluation of Large Language Models (LLMs) across a variety of tasks and domains. One such domain is healthcare, where LLMs can greatly benefit clinical practice by assisting with a wide range of tasks. However, these models are also prone to producing "hallucinations" or incorrect responses when faced with queries they cannot adequately address, raising …
abstract agi ai research artificial artificial general intelligence arxiv benefit clinical cs.cl domain domains evaluation general healthcare intelligence language language models large language large language models llms medical practice progress prompting research tasks type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US