Performance analysis of Llama 2 among other LLMs

• Main Authors: HUANG, Donghao, HU, Zhenda, WANG, Zhaoxia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: large language model; in-context learning; generative pre-trained transformer; model evaluation; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9162; https://ink.library.smu.edu.sg/context/sis_research/article/10165/viewcontent/6._IEEE_CAI2024_paper_ID_371_Performance_Analysis_of_Llama_2_Among__Other_LLMs.pdf
• Institution: Singapore Management University

Llama 2, an open-source large language model developed by Meta, offers a versatile and high-performance solution for natural language processing, boasting a broad scale, competitive dialogue capabilities, and open accessibility for research and development, thus driving innovation in AI applications...