April 30, 2024, 4:50 a.m. | Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A. Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ Altman, Mengdi Wang, Le Cong

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.18021v1 Announce Type: cross
Abstract: The introduction of genome engineering technology has transformed biomedical research, making it possible to make precise changes to genetic information. However, creating an efficient gene-editing system requires a deep understanding of CRISPR technology, and the complex experimental systems under investigation. While Large Language Models (LLMs) have shown promise in various tasks, they often lack specific knowledge and struggle to accurately solve biological design problems. In this work, we introduce CRISPR-GPT, an LLM agent augmented with …

abstract agent arxiv automated biomedical crispr cs.ai cs.cl cs.hc design editing engineering experimental gene genome gpt however information introduction investigation language language models large language large language models llm llms making q-bio.qm research systems technology type understanding while

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