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MM-EUREKA:探索视觉推理的多模态强化学习工具-首席AI分享圈

MM-EUREKA: A Multimodal Reinforcement Learning Tool for Exploring Visual Reasoning

Comprehensive Introduction MM-EUREKA is an open source project developed by Shanghai Artificial Intelligence Laboratory, Shanghai Jiao Tong University and other parties. It extends textual reasoning capabilities to multimodal scenarios through rule-based reinforcement learning techniques to help models process image and textual information. The core goal of this tool is to improve...

Feeds.Fun:自动标记和筛选新闻的RSS订阅工具-首席AI分享圈

Feeds.Fun: RSS feeds with automatic tagging and filtering of news

General Introduction Feeds.Fun is a tool that helps users read news efficiently, with core features such as automatically tagging news and filtering content based on user preferences. It was created by developer Aliaksei Yaletski (screen name Tiendil), is hosted on GitHub and is completely open source. Users can add tags to news and filter content based on their preferences by ...

MCP.so:1000+MCP服务搜索和分享社区-首席AI分享圈

MCP.so: 1000+ MCP services search and share community

General Introduction MCP.so is a community-driven platform focused on Model Context Protocol (MCP). It helps users discover, share, and use MCP servers, allowing AI assistants (like Claude) to easily connect to a variety of external data and tools. The core of the site is to provide a clear...

OpenJobs AI:与AI对话快速匹配适合的职位-首席AI分享圈

OpenJobs AI: Talk to AI to Quickly Match Suitable Jobs

General Introduction OpenJobs AI is a website that uses artificial intelligence technology to help users find jobs. It uses a simple chat that allows users to describe their needs in natural language, such as what type of job they want and what their skills are, and then quickly matches them with suitable positions. At the heart of this site is the section...

ACE++:用文本指令精准对图像局部编辑的多功能开源工具-首席AI分享圈

ACE++: a versatile open source tool for precise localized image editing with text commands

General Introduction ACE++ is an open source project developed by the ali-vilab team at Alibaba Tongyi Lab (Tongyi Lab). It is based on the FLUX.1-Fill-dev model and aims to achieve image generation and editing through simple textual commands. The project will reference image generation, local editing and controlled generation...

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