关键词 "Large teams" 的搜索结果, 共 24 条, 只显示前 480 条
insMind AI Photo Editor offers a comprehensive suite of AI-powered tools to enhance your image editing experience. From AI Image Generator and AI Face Swap to AI Image Enhancer and AI Image Expander,
Large Chinese conversational language model
"Presentations.AI is an AI-powered app that helps users create stunning presentations effortlessly."
FastGPT是一个基于LLM(Large Language Model)大语言模型的知识库问答系统,提供了开箱即用的数据处理和模型调用能力。它支持多种数据导入方式,包括手动输入、直接分段和LLM自动处理等,能够自动完成文本预处理、向量化和QA分割,节省手动训练时间,提高效率
提示工程指南 提示词工程(Prompt Engineering)是一门较新的学科,关注提示词开发和优化,帮助用户将大语言模型(Large Language Model, LLM)用于各场景和研究领域。 掌握了提示工程相关技能将有助于用户更好地了解大型语言模型的能力和局限性。 研究人员可利用提示工程来提升大语言模型处理复杂任务场景的能力,如问答和算术推理能力。开发人员可通过提示工程设计、研发
专注于您的对话,同时 Meetily 的 AI 会自动捕获、转录和总结您的会议记录。100% 开源、自托管和隐私优先 - Granola 和 Otter AI 的完美替代品。适用于 Google Meet、Zoom 和 Teams 只需单击一下即可捕获现场会议音频 人们说话时的实时转录 人工智能生成的摘要和行动项目 100%开源,完全透明 自托管以实现完全数据控制 100% 私
Model Context Protocol (MCP) server implementation for Aytch4K applications. The MCP server provides an interface for Large Language Models (LLMs) to interact with Aytch4K applications.
TypeScript SDK for using large language models with an MCP server directly in the browser, powered by Cherry Studio's prompt templates.
A model that uses streamlit as frontend and MCP server(notion and postgres tools) and FAST API for integration
Unity MCP server, providing a bridge between the Unity Editor and external Large Language Models (LLMs) or cloud-based AI agents.
A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with v
This server acts as a command execution gateway for the Buu platform, exposing tools to manage teams, subthreads, and generation requests using a standardized MCP interface.
The **python-mcp-server** project is a Flask-based web server designed to interact with Minecraft, likely as part of a larger system for managing Minecraft servers, plugins, or player data.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A reusable Dockerized Python server template implementing the Model Context Protocol (MCP) with Server-Sent Events (SSE), built using the FastMCP library for easy integration with Large Language Model
Example Deployment for MCP Servers
Python wrapper for seamless integration with different MCP-servers and open-source large language models (LLMs).
An MCP server that uses Redis and in-memory caching to optimize and extend context windows for large chat histories
MCP Server for collaborative drawing with Large Language Models
A lightweight Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to autonomously interact with SQLite databases.
The Okta MCP Server is a groundbreaking tool built by the team at Fctr that enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP). Built specifically
DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini 2.5 Pro's extensive context window.
A lightweight, ready-to-use TypeScript template for building Model Context Protocol (MCP) servers. This template provides the essential scaffolding to create custom AI tools that can be seamlessly int
MCP server for Cursor that leverages Gemini's much larger context window to enhance the capabilities of the AI tools
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