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