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通义tongyi

通义，由通义千问更名而来，是阿里云推出的语言模型，于2023年9月13日正式向公众开放。属于(AI Generated Content，AIGC)领域，是一个MaaS（模型即服务）的底座。为多模态大模型(Multimodal Models)。通义意为“通情，达义”，具备全副AI能力

Med-PaLM Multimodal

Med-PaLM 是一个大型语言模型 (LLM)，旨在为医学问题提供高质量的答案。我们的第二个版本 Med-PaLM 2 是MedLM 的支撑模型之一。MedLM 是一系列针对医疗保健行业进行微调的基础模型。MedLM 现已面向 Google Cloud 客户开放，这些客户一直在探索从基本任务到复杂工作流程等一系列应用。 Med-PaLM 充分利用了 Google 大型语言模型的强大功能，这

multimodal-cancer-origin-prediction多模态癌症起源预测

基于深度学习的组织学和基因组学多模态整合，以改善癌症起源预测

systemprompt-agent-server

The core MCP extension for Systemprompt MCP multimodal client

MCPollinations Multimodal MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model o

AgentDank:

Model Context Procotol (MCP) server with tools for Cannabis Datasets.

OpenRouter MCP Multimodal Server

MCP server for OpenRouter providing text chat and image analysis tools

Opera Omnia MCP Server

The Opera Omnia MCP server provides programmatic access to the rich collection of JSON datasets from the Opera Omnia project. It enables developers, storytellers, and AI applications to easily access,

Multimodal Model Context Protocol Server

A multimodal mcp server

Multimodal Model Context Protocal Server

A multimodal mcp server

Azure Cosmos DB MCP Server

A Model Context Protocol (MCP) server that provides secure access to Azure Cosmos DB datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.

Financial Datasets MCP Server

An MCP server for interacting with the Financial Datasets stock market API.

Data.gov MCP Server

An MCP server for accessing data from Data.gov, providing tools and resources for interacting with government datasets.

BigQuery MCP Server

A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interfac

SuperEdit

SuperEdit是字节跳动智能创作团队和佛罗里达中央大学计算机视觉研究中心联合推出的指令引导图像编辑方法，基于优化监督信号提高图像编辑的精度和效果。SuperEdit基于纠正编辑指令，与原始图像和编辑图像对更准确地对齐，引入对比监督信号，进一步优化模型训练。SuperEdit不需要额外的视觉语言模型（VLM）或预训练任务，仅依赖高质量的监督信号，在多个基准测试中实现显著的性能提升。 Super

MMaDA

MMaDA（Multimodal Large Diffusion Language Models）是普林斯顿大学、清华大学、北京大学和字节跳动推出的多模态扩散模型，支持跨文本推理、多模态理解和文本到图像生成等多个领域实现卓越性能。模型用统一的扩散架构，具备模态不可知的设计，消除对特定模态组件的需求，引入混合长链推理（CoT）微调策略，统一跨模态的CoT格式，推出UniGRPO，针对扩散基础模型的统

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