We are exploring advanced methods to fine-tune large language models (LLMs) to make them more specialized, efficient, and capable of handling complex tasks. Our focus is on leveraging Google’s new Tunix project, which provides a scalable and streamlined approach to model fine-tuning. By combining cutting-edge techniques with Tunix, we aim to optimize model performance, reduce training time, and unlock new possibilities in AI applications, enabling smarter, faster, and more adaptable AI systems for real-world use.