Parameter-efficient Fine-tuning (PEFT)

Parameter-efficient fine-tuning (PEFT) is a technique for fine-tuning large language models that only requires a small number of parameters to be updated. This makes it possible to fine-tune large models on a single GPU, which can save a significant amount of time and money.

PEFT is a key component of any successful AI strategy, as it can help to reduce the cost and complexity of developing and deploying AI systems.