Fine-Tuning Large Language Models

This focused short course teaches the practical aspects of fine-tuning large language models. Learn when fine-tuning is the right approach, how to prepare your data, and how to train and evaluate your custom model.

What You’ll Learn

• Understand when fine-tuning is better than prompt engineering
• Prepare and format training data for fine-tuning
• Fine-tune open-source LLMs on your own data
• Evaluate fine-tuned model performance
• Compare fine-tuning approaches including LoRA and full fine-tuning

Who This Is For

ML engineers and developers who want to customize LLMs for specific tasks or domains. You should have experience with Python and basic familiarity with LLMs. Ideal for teams that need models tailored to their unique data and use cases.