Build an LLM from Scratch 6: Finetuning for Classification

In part six, the focus is on fine-tuning a pre-trained GPT model for spam classification. The process includes preparing the dataset, modifying the model architecture, and implementing evaluation metrics for accuracy and loss. The chapter concludes with using the trained model to classify new text messages, setting the stage for instruction fine-tuning in part seven.