Fine-Tuning LLM with QLoRA on Single GPU - Training Falcon-7b on ChatBot Support FAQ Dataset

Learn how to fine-tune the Falcon 7b Large Language Model on a custom dataset of chatbot customer support FAQs using QLoRA. Explore the process of loading the model, implementing a LoRA adapter, and conducting fine-tuning. Monitor training progress with TensorBoard and compare the performance of untrained and trained models by evaluating responses to various prompts. Gain insights into working with free-to-use LLMs for research and commercial purposes, and discover techniques for adapting powerful language models to specific tasks using limited computational resources.