Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices
5.0
来源：
Nature
关键字：
AI brain science
发布时间：
2025-10-06 23:35
摘要：
SELLM is a framework that utilizes large language models (LLMs) to generate effective solutions for complex interdisciplinary challenges, as demonstrated in case studies involving OLED lighting and IGZO-TFTs. By systematically constructing expert agents, SELLM enhances the diversity and feasibility of generated solutions, showcasing its potential in electronic device development.
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价值维度分析
domain_focus
0.0
business_impact
0.0
scientific_rigor
1.0
timeliness_innovation
1.5
investment_perspective
2.5
market_value_relevance
0.0
team_institution_background
0.0
technical_barrier_competition
0.0
关键证据
SELLM significantly facilitates the generation of effective solutions compared to cases without specific customization.
The results demonstrate that SELLM generated solutions with higher SBE and KBE scores.
SELLM can generate highly valid solutions that integrate knowledge from seemingly unrelated fields.
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AI评分总结
SELLM is a framework that utilizes large language models (LLMs) to generate effective solutions for complex interdisciplinary challenges, as demonstrated in case studies involving OLED lighting and IGZO-TFTs. By systematically constructing expert agents, SELLM enhances the diversity and feasibility of generated solutions, showcasing its potential in electronic device development.