Fine-tuning an AI model is like adjusting the strings of a guitar—small changes can create big impacts. In this session, we’ll break down the process of fine-tuning AI models and explore practical scenarios where it’s valuable. I’ll guide you through the technical aspects in a hands-on demo, showing you when and how to fine-tune models to fit specific needs without over-complicating the process. Pre-requisite: Basic understanding of AI models and curiosity about making them smarter. Key Takeaways: - When fine-tuning is necessary and when it’s not - Steps to fine-tune models efficiently - Practical use cases with real-world examples - Live demo on implementing fine-tuning