General Introduction
LlamaCoder is a software program based on the Llama 3.1 and Together LlamaCoder is an open source code generation tool for AI. It can generate small applications through simple prompts, suitable for developers to quickly realize their ideas.LlamaCoder provides a rich feature module and flexible customization options, support for a variety of programming languages and frameworks, to help users efficiently complete the code development task.
Function List
- Code Generation: Generate complete application code with simple prompts.
- Multi-language support: support for a variety of programming languages, such as Python, JavaScript and so on.
- Customization Options: Provide rich customization options, users can adjust the parameters of the generated code according to the needs.
- Code Sandbox: Integration of Sandpack code sandbox, user-friendly online testing and debugging code.
- Observation Functionality: Use Helicone for code observation and analysis.
- Website Analytics: Integrate with Plausible for website traffic analysis.
Using Help
Installation process
- Cloning Warehouse:
git clone https://github.com/nutlope/llamacoder - establish
.envfile and add the Together AI API key:TOGETHER_API_KEY=your_api_key - Install dependencies and run the local development environment:
npm install npm run dev
Guidelines for use
- code generation::
- Open the LlamaCoder website or a locally running application.
- Enter a description of your application requirements in the prompt box.
- Click the "Generate Code" button and LlamaCoder will automatically generate the appropriate code.
- Multi-language support::
- When generating code, you can select the desired programming language.
- LlamaCoder supports multiple languages to ensure that the generated code meets your needs.
- Customization Options::
- Before generating the code, you can adjust the generation parameters, such as code style, library dependencies, etc. through the settings interface.
- These options can help you generate code that better meets the needs of your project.
- code sandbox::
- Once generated, code can be tested and debugged directly in the integrated Sandpack code sandbox.
- Code Sandbox provides real-time preview and error alerts for users to quickly locate and fix problems.
- viewing function::
- Use Helicone for code observation and analysis to understand how your code performs and runs.
- The Watch feature helps users optimize their code and improve the efficiency of their applications.
- Web analytics::
- Integrate with Plausible for website traffic analysis to help you understand how your website is being accessed and user behavior.
- The web analytics feature provides detailed data reports to facilitate data-driven decision making.
typical example
Assuming you want to generate a simple To-Do List application, you can follow these steps:
- Enter "Generate a simple To-Do List application" in the prompt box.
- Select the programming language (e.g., JavaScript).
- Click on the "Generate Code" button and LlamaCoder will generate the appropriate code.
- Test and debug the generated code in the Sandpack code sandbox.
- Observe the performance of your code with Helicone and analyze website traffic with Plausible.
With these steps, you can quickly generate and optimize a fully functional To-Do List application.
Using Together AI's LlamaCoder to Generate Complete Apps from Prompts
Together AI, the leading AI acceleration cloud platform, helps developers and enterprises seamlessly design, develop and manage their entire generative AI lifecycle based on open source models such as Llama.
To inspire developers who build on Llama, Together AI created the LlamaCoder App--An open source web application that allows users to generate complete applications from prompts using Llama 3.1 405B.
In just one month since its release, Together AI has become a viral hit. Over 2,000 GitHub stars and hundreds of developers have cloned the repository and generated over 200,000 apps using LlamaCoder.
"Developers love it," said Hassan El Mghari, Software Engineer and Head of Developer Relations at Together AI. "It's incredible to see people generating quiz apps, tomato clocks, budgeting apps, and more just from prompts and customizing them to their needs. This really showcases the power of Llama 3.1 405B."
In this example, Llamacoder is building a history quiz application.
He added that Llama 3.1 405B is the first open-source model to perform well in this particular coding use case.Together AI has also developed a number of other example applications that use Llama 3.1, including LlamaTutor, an app that helps people learn, and TurboSeek, an AI-powered search engine.
"The Llama model pushes the boundaries of open source big language models to rival the best closed source models while providing secure tools for responsible development," said El Mghari. He also mentioned that Llama 3.1 405B's cutting-edge capabilities in general knowledge, controllability, math, tool usage, and multilingual translation have the potential to rapidly accelerate the adoption of open source AI by developers and enterprises.
Expanding more usage scenarios with each new release
More than 150,000 developers and companies use the Together platform for a wide range of usage scenarios, including gaming, customer service, benchmarking, and summary generation. While they use the Together platform to power generative AI applications, each developer and company retains ownership of their fine-tuning weights and can download them for other usage scenarios.
In this example, Llamacoder is building a budgeting application.
"Our vision is to bring research innovations into production environments as quickly as possible. Based on our leading inference optimization research, the Together inference engine leverages innovations including the FlashAttention-3 kernel, a custom predictor based on RedPajama, and the most accurate quantization techniques on the market," said El Mghari. "These advancements enable developers to build and run generative AI applications based on Llama 3.1 models at production scale with unmatched performance, accuracy, and cost-effectiveness."
This has been made possible by an open approach, says El Mghari, adding that many companies using Together AI have moved from closed-source providers because they are eager to enjoy the benefits of open source.
"Open source AI is a game changer for the AI community," he said. "It is in the best interests of all developers and will lead to the fastest progress and innovation. On top of that, it allows organizations to truly own their data and models and have complete flexibility instead of being locked in."
