关键词 "experiment prediction" 的搜索结果， 共 20 条, 只显示前 480 条
An experimental Model Context Protocol (MCP) server that exposes Kubernetes resources to AI chat interfaces.
APIM ❤️ AI - This repo contains experiments on Azure API Management's AI capabilities, integrating with Azure OpenAI, AI Foundry, and much more 🚀
Mirror of
An attempt to create an MCP server so I can learn more about it
Beancount MCP Server is an experimental implementation that utilizes the Model Context Protocol (MCP) to enable AI assistants to query and analyze Beancount ledger files using Beancount Query Language
A MCP server to interact with Kalshi prediction markets
Fully AI generated Flutter app in Claude Desktop with 3.7 Sonnet by MCP servers desktop-commander and sequential-thinking
MCP server for experimenting with LLM tools
A MCP Server for the SondeHub API primarily to experiment with MCP
MCP Server for Chronulus AI Forecasting and Prediction Agents
This project demonstrates how to use Cloudflare Browser Rendering to extract web content for LLM context. It includes experiments with the REST API and Workers Binding API, as well as an MCP server im
MCP server for interacting with Manifold Markets prediction markets
MCP Server for PolyMarket API
Azure API Management as AI Gateway to Remote MCP servers.
MCP Client and Server Experiments
MCP Security Playground - Hack with MCP Servers, MCP Clients. Try out different vulnerabilities and abuse LLMs and agents in a UI friendly experimentation lab
AnimeGamer 是基于多模态大型语言模型（MLLM）构建的，可以生成动态动画镜头和角色状态更新，为用户提供无尽的动漫生活体验。它允许用户通过开放式语言指令与动漫角色互动，创建独特的冒险故事。该产品的主要优点包括：动态生成与角色交互的动画，能够在不同动漫之间创建交互，丰富的游戏状态预测等。 快速入门 🔮 环境设置 要设置推理环境，您
Food Mood 是 Google AI 推出的创意菜谱生成工具。支持用户将两种不同国家的菜系进行融合，创造出独特的食谱。用户可以根据自己的需求选择菜品类别（如前菜、主菜、甜点等）、用餐人数、添加特定食材，指定饮食偏好（如素食、无麸质等）。用户可以选择随机生成，获得灵感。生成的食谱包含详细的食材清单和制作步骤，附有精致的插图和实用的贴士建议。 Food Mood的主要功能 融合菜系：
National Gallery Mixtape 是伦敦国家美术馆联合 Google Arts & Culture 推出的 AI 音乐实验工具。汇集了伦敦国家美术馆精选的200幅世界名画，涵盖从文艺复兴时期到现代的各种风格和主题。用户可从这些画作中最多选择6幅，拖放到指定区域，AI会分析画作的色彩、主题、情感和历史背景等元素，生成与之匹配的音乐片段。能通过调整音乐片段的音量、顺序和叠加方式
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