This repository provides a collection of Google Colab notebooks for interacting with and fine-tuning Llama 3 models. It targets developers and researchers interested in prompt engineering, model customization, and exploring the capabilities of Llama 3 using open-source tools. The primary benefit is a guided, hands-on approach to leveraging Llama 3.

How It Works

The project utilizes Google Colab notebooks as the primary execution environment, allowing users to run code directly in their browser without local setup. It demonstrates fine-tuning techniques for Llama 3 models and showcases prompt engineering strategies with popular libraries like Langchain and FAISS. This approach simplifies access to powerful LLMs and their customization.

Quick Start & Requirements

• Install/Run: Open provided Google Colab notebooks.
• Prerequisites: Google account for Colab, potentially API keys for certain services.
• Links: Google Colab Notebooks

Highlighted Details

• Demonstrates fine-tuning Llama 3 with custom datasets.
• Explores prompt engineering techniques using Langchain and FAISS.
• Includes examples for general interaction with Llama 3 models.

Maintenance & Community

No specific information on contributors, community channels, or roadmap is provided in the README.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is undetermined.

Limitations & Caveats

The repository is presented as a collection of examples and may not represent a production-ready framework. The lack of a specified license and detailed maintenance information could pose adoption risks.