You already know the potential of pre-trained models, and the time- and resource-consuming nature of feeding them domain-specific knowledge (or worse, building custom models from scratch). Supervised fine-tuning (SFT) addresses the pressing need for speed in the AI race! This efficient approach allows you to create proprietary applications faster by training an existing LLM with a specialized, high-quality dataset (in prompt-completion pairs) to do a specific task.