May 14, 2024, 4:42 a.m. | Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.06658v1 Announce Type: cross
Abstract: Large language models (LLMs) have garnered considerable attention for their proficiency in tackling intricate tasks, particularly leveraging their capacities for zero-shot and in-context learning. However, their utility has been predominantly restricted to general tasks due to an absence of domain-specific knowledge. This constraint becomes particularly pertinent in the realm of protein engineering, where specialized expertise is required for tasks such as protein function prediction, protein evolution analysis, and protein design, with a level of specialization …

abstract arxiv attention context context learning cs.ai cs.lg domain domain knowledge engineering general however in-context learning knowledge language language models large language large language models llm llms protein protein engineering q-bio.bm tasks type utility zero-shot

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