Parameter-efficient fine-tuning in tinygrad Home Parameter-efficient fine-tuning in tinygrad Parameter-efficient fine-tuning (PEFT) is a family of techniques used to adapt LLMs (along with other types of large models) to specific tasks or datasets. For example, if you had a private dataset from your legal practice, you could take gpt-oss off the shelf and customize it to be really good at your…