Core Insights - Skillful Craftsman Education Technology (EDTK) has launched an AI communications app named "Sesame Chat" in mainland China, which utilizes a Multi-Agent System (MAS) for adaptive communication skills learning [1][2] - The MAS consists of multiple AI agents that dynamically activate based on user scenarios, enhancing communication effectiveness across various contexts such as dating, professional interactions, and social scenarios [2][8] Company Overview - Skillful Craftsman focuses on educational technology innovation, artificial intelligence skills training, and the digital transformation of educational institutions [1][8] - The company aims to improve teaching effectiveness, student outcomes, and community connections through intelligent learning platforms and teaching management systems [8] Technology and Functionality - The MAS includes five specialized AI agents: - Style Profiler: Identifies communication preferences [3] - Context Interpreter: Analyzes relationship history for appropriate intimacy levels [4] - Knowledge Specialist: Retrieves relevant cultural frameworks [5] - Response Architect: Generates tailored communication options [6] - Quality Validator: Scores responses and presents the best options to users [7] - The AI agents collaborate seamlessly, utilizing dedicated neural networks and deep reinforcement learning to provide customized communication recommendations [8]

奕然 发自 凹非寺 量子位 | 公众号 QbitAI 如何用多智能体的方法构建深度搜索？ 现在，Claude团队把自家最新的心得，对外分享了。 在这篇文章中，它详细展示了如何构建一个 有效的多智能体研究系统 ，这是一个架构，其中主代理（The Lead Agent）会生成和协调子代 理（Subagents)，以并行方式探索复杂查询，内容涵盖系统架构、提示工程以及评估方法等。 Claude数据显示了不同行业领域使用此功能的比例——专业领域软件系统开发占比10%，开发和优化专业和技术内容、开发业务增长和创收 策略皆占比8%，协助学术研究和教育材料开发占比7%，研究和审核信息占比5%。 网友们点评： Anthropic团队对AI模型的理解真是killer级别啊。 一起来看看这篇干货教程。 关键架构：协调器-工作器架构 Claude团队使用了协调器-工作器架构，专门用于管理多个智能体之间的任务分配与协作。下图展示了多智能体架构运行情况。 此外，该系统使用 多步搜索 而非静态检索，动态地查找相关信息，适应新的发现，并分析结果来形成高质量的答案。 与单个代理的Claude相比，它在内部评估中成功率达到90%更高，比如，以 ...