Generative AI has quickly moved from being an experimental technology to a practical business tool. Many organizations start by using off-the-shelf AI models to generate content, analyze data, or automate tasks. While these models are impressive, they often lack the context needed to truly understand a specific business. This is where fine-tuning comes into play. Fine-tuning allows companies to adapt generative AI models to their unique data, tone, and objectives, making outputs more accurate ...