The dangerous unknowns at the heart of LLMs Despite the rapid development of LLMs (such as ChatGPT) since 2023, these models lack human-like understanding and exhibit erratic performance. LLMs predict the next word based on vast amounts of text data
Large Language Models like ChatGPT have advanced rapidly since 2023, yet they lack true human-like understanding and exhibit inconsistent performance. These models, which predict the next word based on vast text data, can excel at certain tasks while failing unexpectedly on similar ones, a phenomenon termed 'jagged intelligence.' Despite the necessity of fine-tuning with human feedback and safety training, issues of manipulability and uncertainty persist. AI
IMPACT Highlights the inherent limitations and potential unreliability of current LLMs, urging caution in their application and development.