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Looking for how to contribute to open-source large language models (LLMs)? This hands-on guide walks you through the entire process of contributing to LLMs through InstructLab, from setting up your environment and training the model to chatting with the trained model and contributing knowledge to an open-source LLM like IBM Granite.

Large Language Models (LLMs) have immense potential, but they come with challenges like the need for high-quality training data, specialized skills, and extensive computing resources. Forking and retraining these models can be time-consuming and costly. That’s where #InstructLab steps in! This open-source project leverages community contributions to enhance LLMs, offering a more efficient and collaborative approach to generative AI.

Check out this tutorial, try it on your laptop, and share it with your network.