Tomaz Kastrun updates a generative AI model:
Fine-tuning is the process of optimizing a pretrained model by training it on your specific dataset, which often contains more examples than you can typically fit in a prompt. Fine-tuning helps you achieve higher quality results for specific tasks, save on token costs with shorter prompts, and improve request latency.
Read on to see how you can do this. Note that you’ll need to set up the fine-tuning data in a particular format for whatever model you’re using.