LLM助研发提速，实现智能创新管理
Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance
- 用LLM自动发现知识、生成假设、融合跨学科信息
- 提升研发效率，缩短创新周期与上市时间
- 适合科技企业、研发团队及政策制定者参考
本研究分析大型语言模型（LLMs）在重塑研发（R&D）流程中的多重功能。通过自动化知识发现、促进假设生成、整合跨学科洞察，并支持创新生态中的协作，LLMs显著提升了研发的效率与效果。基于对科学文献、专利数据库和实验数据的广泛分析，这些模型使研发工作流更具灵活性与前瞻性，最终加速创新周期，降低突破性想法的上市时间。
原文摘要 · Abstract (English)
This study analyzes the multiple functions of Large Language Models (LLMs) in transforming research and development (R&D) processes. By automating knowledge discovery, boosting hypothesis creation, integrating transdisciplinary insights, and enabling cooperation within innovation ecosystems, LLMs dramatically improve the efficiency and effectiveness of research processes. Through extensive analysis of scientific literature, patent databases, and experimental data, these models enable more flexible and informed R&D workflows, ultimately accelerating innovation cycles and lowering time-to-market for breakthrough ideas.
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