Customize model behavior, tone, and format through fine-tuning. Distill large model knowledge into smaller, cheaper models. Part of the free OpenAI Academy — every lesson below is open to everyone, no signup required.
Customizing Model Behavior Fine-tuning trains an existing OpenAI model on your own dataset to customize its behavior, tone, format, or domain knowledg...
Shrink the Cost, Keep the Quality Model Distillation is the process of using a large, expensive model (teacher) to generate training data, then fine-t...
Beyond Supervised Fine-Tuning Reinforcement Fine-Tuning (RFT) goes beyond traditional supervised fine-tuning by using verifiable rewards to train mode...