Fine-Tuning Large Language Models: A Practical Guide (opens in new tab)

What Is Fine-Tuning? A pre-trained model learns from billions of tokens of general text. It develops broad language understanding. Fine-tuning takes that base model and trains it further on a smaller, task-specific dataset. The result: a model that performs well on your specific use case, whether that is medical diagnosis, legal summarization, customer support, or code generation. Fine-tuning is not training from scratch. You preserve general knowledge and adapt behavior. How a Neural Network...