Instruct Fine-Tuning Falcon 7B Using LoRA
Introduction Natural Language Processing (NLP) has seen tremendous advancements in recent years, thanks to powerful large language models like Falcon 7B. Falcon 7B, is a state-of-the-art LLM based on the Transformer architecture( https://huggingface.co/blog/falcon ). While Falcon 7B offers impressive out-of-the-box performance, instruction fine-tuning allows you to build your own LLM with context and knowledge about your data. In this article, we will explore how to fine-tune Falcon7B on custom Frequently Asked Questions (FAQ) data, allowing you to create a powerful and accurate FAQ-based chat bot tailored to your specific needs. Understanding Fine-Tuning Fine-tuning is a transfer learning technique that involves taking a pre-trained model, such as Falcon 7B, and adapting it to perform a specific task. The pre-trained model is already equipped with knowledge about language, grammar, and context from its broad training on a large corpus of text. Fine-tuning allows us to leverage t...