A side-by-side evaluation of Llama 2 by meta with ChatGPT and its application in ophthalmology
Year: 2024
Type: article
Abstract: Llama 2, a product of Meta, represents the latest advancement in open-source large language models (LLMs). It has been trained on a massive dataset of 2 trillion tokens, which is a significant increase compared to its predecessor, Llama 1 [ 1 ]. Its ability to understand and generate language, combined with its optimized transformer architecture and fine-tuning methods, make it a potentially valuable resource in various fields.
Source: Eye
Institutions: University College Dublin, University of Michigan, University of Nevada, Reno, University of Cambridge, University of Iowa, Houston Methodist, The University of Texas MD Anderson Cancer Center, Baylor College of Medicine, University of Iowa Hospitals and Clinics, Weill Cornell Medicine, The University of Texas Medical Branch at Galveston, Texas A&M University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,290
Funder: Irish Research eLibrary
OpenAlex ID: W4391745580