How to Fine-Tune LLMs with Prefix Tuning

Prefix tuning is a parameter-efficient method for adapting large language models (LLMs) to specific tasks without modifying their pre-trained weights. Instead of updating the entire model during fine-tuning, prefix tuning introduces learnable prefix parameters—continuous vectors that act as…