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  1. Prime Intellect Blog75

    Prime Intellect is expanding the scale of its open-source environment project to become a global open evaluation and reinforcement learning environment center.

    Prime Intellect is expanding its open-source environment project into a global open evaluation and reinforcement learning environment center, committing millions of dollars in prizes and seeking partners to accelerate the development of open superintelligence. Over the past two months, more than 400 cutting-edge reinforcement learning environments and evaluations have been collected through bounty programs and reinforcement learning residencies. A new large-scale bounty program will expand to thousands of open-source environments, divided into open access and task-only categories, with prize amounts ranging from 100 to 5000 dollars.

Oct 16Thu
  1. Dify Blog

    Dify has launched an open-source visual intelligence agent workflow platform, emphasizing collaborative AI system construction.

    Dify has released an open-source visual intelligence agent workflow platform that enables models, APIs, and agents to work together through visual process orchestration, allowing the construction of complex AI systems without coding. The platform supports progressive use from simple logic to complex workflows, including a draggable process canvas, variable binding, iterative loops, and other nodes, and can be extended through a plugin marketplace. Dify emphasizes human-machine collaboration, aiming to lower the barrier to AI application development, enabling product managers, experts, and developers to work together on the same interface.

Sep 25Thu
Aug 27Wed
Jun 24Tue
Jun 5Thu
  1. Dify Blog65

    Dify has received 100,000 GitHub stars, thanks to the open-source community's support

    Dify has surpassed 100,000 GitHub stars and joined the top 100 global open-source projects. The platform was open-sourced two years ago, aiming to make it easier for developers to build LLM applications, and has continued to grow thanks to community contributions. The project especially thanks 10 core contributors who have driven platform progress through code submissions, feature development, and documentation improvements.

May 11Sun
  1. Prime Intellect Blog

    INTELLECT-2 Released: The first 32B parameter model trained through global distributed reinforcement learning

    INTELLECT-2 is the first 32B parameter model trained using global distributed reinforcement learning, employing fully asynchronous RL across dynamic heterogeneous computing contributor groups to train reasoning language models. It has open-sourced the training framework PRIME-RL and components such as TOPLOC and SHARDCAST, while improving the GRPO training recipe and data filtering techniques, enhancing QwQ-32B performance on mathematical and coding tasks.

Apr 14Mon
  1. Dify Blog

    Dify applications transform into MCP servers through the mcp-server plugin.

    Dify's mcp-server plugin can transform any Dify application into a server-side endpoint compliant with the MCP protocol, allowing external MCP clients to access it directly. The plugin handles client requests via HTTP and SSE protocols, supporting the use of Dify applications as a single MCP tool for Cursor, Claude Desktop, and others, and allows operation in private network environments to enhance security.

Aug 15Tue
  1. Dify Blog65

    Dify v0.3.13 released: Easily integrate open-source large models like Llama2 and ChatGLM

    Dify v0.3.13 released, integrating open-source large models like Llama2 and ChatGLM, supporting models from Hugging Face and Replicate platforms, allowing users to easily access and quickly build AI applications via API keys. The platform supports rapid switching between models, enabling users to compare performance by clicking the model selector, lowering the barrier for model selection and tuning.

Apr 9Sun
  1. Dify Blog65

    Why did we create Dify

    Dify is dedicated to making AI technology more accessible, created to address the complex challenges developers face when using OpenAI's large language models to build AI applications, such as the difficulty of data preparation and model fine-tuning; the platform simplifies LLM application development and operations through a visual interface, unified API, and open-source strategy, and continuously integrates cutting-edge technologies like agent patterns and ChatGPT plugins.