关键词 "Scribe" 的搜索结果， 共 22 条, 只显示前 480 条
AI medical scribe for transcription and decision support.
MeetGeek is an AI meeting assistant that records, transcribes, and provides insights from meetings.
AI-powered transcription, translation, content generation, and Q&A
All-in-one AI Chats workspace: productivity, communication & education
Record, transcribe, and summarize meetings with Wudpecker.
Transcribe, clean, and structure your voice into usable content.
Convert voice notes from WhatsApp and Telegram to text with TranscribeMe for free.
AI transcription service for audio and video files
AI transcription service
Audio to text transcription and video subtitles with high accuracy.
我们的 AI Scribe 可将您与患者的对话转化为结构化的医疗记录，显著节省您的文档记录时间。适用于手机、平板电脑和台式电脑。
cua-mcp-server is a MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients. Get started with Agent Prerequisites Before installing
An MCP server implementation that integrates with optivus, providing video transcribe capabilities (e.g. YouTube, Facebook, Tiktok, etc.) for LLMs
An MCP server implementation enabling LLMs to work with new APIs and frameworks
MCP server that transcribes webpages for LLMs to use by providing the url to the LLM.
An MCP server that hosts finite state machines as dynamic resources that multiple clients can subscribe to and be updated when their state changes.
A MCP Server that extracts and formats Bilibili video content into structured text, optimized for LLM processing and analysis.
MCP server for obtaining transcriptions given a valid video url
A Model Context Protocol (MCP) server that provides secure, read-only access to Snowflake databases. Allows LLMs to safely query tables and describe schemas without write permissions. Built with Pytho
Model Control Protocol (MCP) server for ElevenLabs Scribe ASR API
ContextGem：轻松从文档中提取 LLM ContextGem 是一个免费的开源 LLM 框架，它可以让您以最少的代码更轻松地从文档中提取结构化数据和见解。 💎 为什么选择 Contex
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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