Pandora's box or cornucopia - should we accelerate open access to feed Large Language Models?

• Main Author: TAY, Aaron
• Format: text
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Artificial Intelligence and Robotics; Library and Information Science; Scholarly Communication
• Online Access: https://ink.library.smu.edu.sg/rstf2023/program/agenda/7; https://ink.library.smu.edu.sg/context/rstf2023/article/1003/type/native/viewcontent/4_Aaron.mp4; https://ink.library.smu.edu.sg/context/rstf2023/article/1003/filename/0/type/additional/viewcontent/4_AaronTay_RSTF_AI.pdf
• Institution: Singapore Management University

The latest generation of Large Language Models (LLM) like ChatGPT seem to be the real deal, demonstrating capabilities that show huge leaps in Natural Language Understanding and Generation from past generations of systems. But like all machine learning applications, training on large amount of data...