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◆ PLoS Computational Biology2025-10-28· Simple (philosophy)

Ten simple rules for optimal and careful use of generative AI in science

Mohamed Helmy, Lingling Jin, Amr Alhossary, Tamer Mansour, Diogo Pellegrina, Kumar Selvarajoo

原始摘要(英文原文)· Original abstract
Modern AI technologies leverage natural language processing (NLP), a subfield of AI dedicated to understanding, interpreting, and generating human language for developing large language models (LLMs), which have significantly advanced the capabilities of AI systems. These models can perform complex language tasks such as text generation, summarization, translation, and sentiment analysis, with unprecedented accuracy. The two main kinds of pre-training LLMs are the BERT-like models (e.g., BioBERT, proteinBERT, and PubMedBERT used primarily for language understanding; and the GPT-like models (e.g., BioGPT and ChatGPT-4o) used primarily for language generation
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Ten simple rules for optimal and careful use of generative AI in science — 科研速览 Science Skim