This paper addresses the rapid evolution of Large Language Models (LLMs) and the challenges that remain in the field. It aims to establish a systematic set of open problems and application successes, enabling researchers to quickly understand the current state of the field and become productive. The authors categorize the challenges into three broader categories: “Design”, “Behavior”, and “Science”. They also explore the fields where LLMs are currently being applied and how these challenges are constraining them.
Publication date: 19 Jul 2023
Project Page: N/A
Paper: https://arxiv.org/pdf/2307.10169.pdf
