Efficient Fine-Tuning with LoRA for LLMs
Fine-tuning a large language model on Kaggle Notebooks or even on your own computer for solving real-world tasks By following these stages systematically, the model is refined and tailored to meet precise requirements, ultimately enhancing its ability to generate accurate and contextually appropriate responses. The seven stages include Dataset Preparation, Model Initialisation, Training Environment Setup, …