关键词 "round" 的搜索结果， 共 20 条, 只显示前 480 条
MCP Server example with TypeScript
This project showcases how to use the MCP protocol with Azure OpenAI. It provides a simple example to interact with OpenAI's API seamlessly via an MCP server and client.
Playing around with MCP clients and servers
A Streamlit-based chatbot interface powered by OpenAI GPT-4o that intelligently routes user input to custom MCP tools such as GPT chat, image generation, Supabase queries, and text-to-speech.
A knowledge base and experimental playground for exploring the Model Context Protocol (MCP)—understanding how hosts, servers, LLMs, and tools interact.
weather-forecast-server, MCP server, without api key, free. Get weather for cities around the world.
The MCP-RAG Server is an implementation of the Model Context Protocol (MCP) designed to enhance AI assistants by providing them with real-time access to relevant documentation through semantic vector
A MCP stdio server shim around common yFinance calls.
This is a TypeScript-based MCP server, which wraps around a python script. together it helps track expenses and payments for social events, making it easy to calculate reimbursements and settle balanc
The intelligent data query plugin under DataFocus that supports multi-round conversations provides plug-and-play ChatBI capabilities.
A testing ground for the MCP server terminator. Hasta la vista, bugs!
This is a directory repo for anything related to MCP - servers, clients and projects around MCP.
Hyperliquid MCP Server - A comprehensive wrapper around the Hyperliquid SDK for AI assistants
MCP Security Playground - Hack with MCP Servers, MCP Clients. Try out different vulnerabilities and abuse LLMs and agents in a UI friendly experimentation lab
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
Scenethesis 是 NVIDIA 推出的创新框架，用在从文本生成交互式 3D 场景。框架结合大型语言模型（LLM）和视觉感知技术，基于多阶段流程实现高效生成，用 LLM 进行粗略布局规划，基于视觉模块细化布局生成图像指导，用优化模块调整物体姿态确保物理合理性，基于判断模块验证场景的空间连贯性。Scenethesis 能生成多样化的室内外场景，具有高度的真实感和物理合理性，广泛应用在虚拟内容
Path is a team of more than 300+ image-editing experts and graphic designers who provide professional Photoshop services to e-commerce businesses, product photographers, and small and medium-sized bus
概述 LandingAI Agentic 文档提取API 从视觉复杂的文档（如表格、图片和图表）中提取结构化数据，并返回具有精确元素位置的分层 JSON。 这个 Python 库包装了该 API 以提供： 长文档支持——一次调用即可处理 100 多页 PDF 自动重试/分页——处理并发、超时和速率限制 辅助实用程序——边界框代码片段、可视化调试器等 特征
MiniMax-M1是MiniMax团队最新推出的开源推理模型，基于混合专家架构（MoE）与闪电注意力机制（lightning attention）相结合，总参数量达 4560 亿，每个token激活 459 亿参数。模型超过国内的闭源模型，接近海外的最领先模型，具有业内最高的性价比。MiniMax-M1原生支持 100 万token的上下文长度，提供40 和80K两种推理预算版本，适合处理长输入
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