PEFT Explained: How to Fine-Tune LLMs Without Retraining Billions of Parameters

Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every commit. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product. Large Language Models have a reputation for being expensive to train. When GPT-style models first became popular, fine-tuning meant updating every weight in the network. If your model had 7 billion parameters, you trained 7 billion parameters. If it had 70 billion parameters, you...