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SkillLens：用于成本高效的LLM代理的自适应多粒度技能重用SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents
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以下内容为 AI 自动翻译，英文原文附后供参考。
摘要
最近的研究揭示了SkillLens，这是一种创新的层次框架，旨在通过自适应技能重用提高大型语言模型（LLM）代理的效率。通过将技能组织成四层图，SkillLens使代理能够在不同粒度级别上检索和调整技能，这不仅优化了所使用技能的相关性，还降低了运营成本。这种方法在提高任务性能方面显示出良好的结果，特别是在错误定位和任务完成的整体成功率方面。
Recent research has unveiled SkillLens, an innovative hierarchical framework aimed at enhancing the efficiency of large language model (LLM) agents through adaptive skill reuse. By organizing skills into a four-layer graph, SkillLens allows agents to retrieve and adapt skills at different levels of granularity, which not only optimizes the relevance of the skills used but also reduces operational costs. This approach has shown promising results in improving task performance, particularly in areas such as bug localization and overall success rates in task completion.
要点
SkillLens为LLM代理中的技能重用引入了一种新颖的框架。
SkillLens introduces a novel framework for skill reuse in LLM agents.
四层图结构增强了技能应用的相关性和成本效率。
The four-layer graph structure enhances the relevance and cost-efficiency of skill application.
在任务性能方面的改善，尤其是在错误定位方面，突显了该框架的实际好处。
Improvements in task performance, especially in bug localization, highlight the framework's practical benefits.
为何重要
SkillLens的发展代表了AI代理效率的重大进步，可能会改变各种应用中任务的处理方式。通过优化技能重用，组织可以以更低的资源支出实现更好的结果。
The development of SkillLens represents a significant advancement in the efficiency of AI agents, potentially transforming how tasks are approached in various applications. By optimizing skill reuse, organizations can achieve better results with lower resource expenditure.
产品经理
对于产品经理而言，SkillLens提供了一条开发更高效的AI驱动产品的途径，这些产品能够适应用户需求，同时降低成本，从而提升用户满意度和留存率。
For product managers, SkillLens offers a pathway to develop more efficient AI-driven products that can adapt to user needs while minimizing costs, ultimately enhancing user satisfaction and retention.
开发者
开发人员可以利用SkillLens框架创建更具响应性和有效性的AI系统，专注于技能粒度以改善任务执行并减少调试时间。
Developers can leverage the SkillLens framework to create more responsive and effective AI systems, focusing on skill granularity to improve task execution and reduce debugging time.
学生与求职者
学生和求职者应注意SkillLens，因为它突显了自适应AI框架在就业市场上日益重要性，强调了在AI开发和优化方面的技能需求。
Students and job-seekers should take note of SkillLens as it highlights the growing importance of adaptive AI frameworks in the job market, emphasizing the need for skills in AI development and optimization.
覆盖来源
来源标题与摘录保留原文，以便核对与追溯。
arXiv cs.AI
SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM AgentsResearchers introduced SkillLens, a hierarchical framework designed for adaptive skill reuse in LLM agents, which organizes skills into a four-layer graph to optimize relevance and cost. This framework enhances task performance by enabling agents to retrieve and adapt skills at varying levels of granularity, resulting in improved bug localization and success rates.