The Generative AI (GenAI) and Large Language Model (LLM) race is on. Companies need to increasingly push the boundaries to gain an edge. Open-source models lack the differentiation you need to stand out, and building from scratch is a time- and resource-draining endeavor. This is where supervised fine-tuning (SFT) comes in. SFT leverages the power of generic LLMs while tailoring them to your unique business challenges. It bridges the gap between pre-trained and custom-built solutions to accelerate development and maximize ROI. The result? Proprietary applications, faster development cycles, and a first-mover advantage in the AI race.