InstructLab

Project Name: InstructLab

Description: InstructLab (based on the Large-scale Alignment for ChatBots technique) is an innovative open-source initiative led by Red Hat and IBM. The project aims to enhance the capabilities of Large Language Models (LLMs) through a community-driven approach that leverages a novel taxonomy-based curation process and synthetic data generation. InstructLab provides tools for users to engage with and improve LLMs, contributing skills and knowledge to the project’s taxonomy repository.

Key Features:

• ilab Command-Line Interface (CLI): Allows users to interact with, train, and fine-tune LLMs using custom taxonomy data. The CLI supports various platforms including macOS, Fedora Linux, and Windows.
• Synthetic Data Generation: Enhances LLM training through the creation of synthetic datasets.
• Taxonomy Repository: A structured repository where users can submit and manage their contributions of skills and knowledge.

Community and Contribution:

• InstructLab welcomes contributions from the open-source community. Users can submit pull requests to the taxonomy repository, participate in discussions, and contribute to ongoing development.
• The project maintains a comprehensive guide for contributors, outlining best practices and governance.

Repository Links:

• InstructLab Main Repository
• Taxonomy Repository
• Community Repository

Contact and Support:

• Join the InstructLab community on Slack for support and collaboration.
• Refer to the documentation for detailed guides and troubleshooting tips.

Licenses:

• InstructLab is released under the Apache-2.0 license.

For more details and to get involved, visit the InstructLab GitHub page.