An open source Claude Artifacts – generate small apps with one prompt
Llama Coder is an open-source tool that generates small applications from a single prompt using the Llama 3 405B model, aiming to assist developers in rapid application development with future enhancements planned.
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Llama Coder is an open-source project that enables users to generate small applications using a single prompt, leveraging the Llama 3 405B model from Meta and Together.ai for large language model (LLM) inference. The project utilizes a tech stack that includes Next.js for the application framework, Tailwind for styling, and Sandpack for code sandboxing. Users can get started by cloning the repository, setting up an environment file with their Together AI API key, and running the application locally. Future enhancements planned for Llama Coder include experimenting with a prompt rewriter, improving the user interface for app sharing, adding theme support, enhancing error handling, and expanding programming language support. This tool is positioned as a valuable resource for developers seeking to quickly create applications with AI assistance.
- Llama Coder generates small applications from a single prompt using AI.
- It is built on the Llama 3.1 405B model and utilizes various modern web technologies.
- Users can clone the repository and set it up locally with minimal steps.
- Future updates aim to enhance user experience and expand functionality.
- The project is designed to assist developers in rapid application development.
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3 commentsRelated
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Llama introduces Llama 3.1, an open-source AI model available in 8B, 70B, and 405B versions. The 405B model is highlighted for its versatility in supporting various use cases, including multi-lingual agents and analyzing large documents. Users can leverage coding assistants, real-time or batch inference, and fine-tuning capabilities. Llama emphasizes open-source AI and offers subscribers updates via a newsletter.
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Meta has launched Llama 3.1 405B, an advanced open-source AI model supporting diverse languages and extended context length. It introduces new features like Llama Guard 3 and aims to enhance AI applications with improved models and partnerships.
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The article explains how to run the Llama 3.1 405B model on home devices using the Distributed Llama project, detailing setup, resource requirements, and methods for efficient execution across multiple devices.