GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications

arXiv:2404.06921v1 Announce Type: new
Abstract: Large Language Models (LLMs) are evolving beyond their classical role of providing information within dialogue systems to actively engaging with tools and performing actions on real-world applications and services. Today, humans verify the correctness and appropriateness of the LLM-generated outputs (e.g., code, functions, or actions) before putting them into real-world execution. This poses significant challenges as code comprehension is well known to be notoriously difficult. In this paper, we study how humans can efficiently collaborate …

applications arxiv autonomous cs.ai cs.cl designs llm llm applications perspectives type