Model tuning allows organizations to refine pre-trained AI models to meet their unique requirements, resulting in highly accurate and contextually relevant outputs. In healthcare, this could mean tuning models to recognize complex medical terminologies or detect rare diseases. In manufacturing, it ensures AI understands specific production workflows or equipment behavior. By aligning the AI model’s output with industry-specific nuances, organizations can achieve better precision in decision-making and operations.