How to Fine-Tune Your First Language Model

Fine-tuning allows you to adapt a powerful, general-purpose language model to a specific domain or task, significantly improving its performance. This tutorial offers a beginner-friendly, step-by-step guide to fine-tuning your first model. We will cover everything from preparing your dataset and choosing a base model to setting up the training environment and evaluating the results. Using a practical example, such as creating a specialized customer support chatbot, we will walk you through the entire process, demystifying the technical jargon and providing you with the skills to start customizing LLMs for your own projects.