关键词 "Socratic method" 的搜索结果, 共 15 条, 只显示前 480 条
Advancing AI to power the future of medicine
Morse code is a coding method using dashes, dots, and spaces for communication.
Socratic is a learning platform that provides answers, explanations, and videos to help students learn better.
Free math homework help with accurate answers.
A lightweight MCP server for managing interview questions. Built with Spring AI and JpaRepository, it communicates via STDIO and integrates with agents like Claude Desktop, requiring explicit permissi
Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible
A template idea project by springboot、mcp (server)、junit,including junit test methods.
solana mcp sever to enable solana rpc methods
传入图片的url,利用二阶段方式,识别并检测图片中二维码的位置和内容(Pass in the URL of the image and use a two-stage method to identify and detect the location and content of the QR code in the image.)
A custom MCP-compatible server for searching local filesystem files. Works with OpenAI's Agent SDK via the resources/list method. ローカルファイルの検索を行う、自作のMCP対応サーバーです。 Agent SDK の `resources/list` に対応しています。
The Neuro-Symbolic Autonomy Framework integrates neural, symbolic, and autonomous learning methods into a single, continuously evolving AI agent-building system. This prototype demonstrates the SCMA c
Exposes MinIO data through Resources. The server can access and provide: Text files (automatically detected based on file extension) Binary files (handled as application/octet-stream)
DreamFit是什么 DreamFit是字节跳动团队联合清华大学深圳国际研究生院、中山大学深圳校区推出的虚拟试衣框架,专门用在轻量级服装为中心的人类图像生成。框架能显著减少模型复杂度和训练成本,基于优化文本提示和特征融合,提高生成图像的质量和一致性。DreamFit能泛化到各种服装、风格和提示指令,生成高质量的人物图像。DreamFit支持与社区控制插件的无缝集成,降低使用门槛。 Dre
BILIVE 是基于 AI 技术的开源工具,专为 B 站直播录制与处理设计。工具支持自动录制直播、渲染弹幕和字幕,支持语音识别、自动切片精彩片段,生成有趣的标题和风格化的视频封面。BILIVE 能自动将处理后的视频投稿至 B 站,综合多种模态模型,兼容超低配置机器,无需 GPU 即可运行,适合个人用户和小型服务器使用。 1. Introduction Have you notice
一、核心技术:自学习和自修复的治疗引擎 PathOS Platform™是Pathos AI 的专有平台,构建于现代数据基础设施之上,能够自动化地进行靶点识别和优先级排序。 核心技术为自学习和自修复的Discovery Engine(发现引擎): 1、自动靶点识别:利用多种正交方法(orthogonal methods)自动识别和优先排序药物靶点。 2、自适应模型:能够根据新数据进行自我学
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