👉 Spotlight engineering refers to the practice of focusing and optimizing the use of limited resources, such as attention, time, and computational power, to maximize the impact of a system or process. It involves strategically allocating these resources to prioritize tasks, enhance performance, and improve efficiency. In the context of machine learning and artificial intelligence, spotlight engineering means directing computational resources towards the most critical components or data subsets that contribute significantly to model accuracy and performance, while minimizing unnecessary processing. This approach helps in reducing costs, improving scalability, and ensuring that systems remain responsive and effective even under resource constraints. By effectively managing these resources, engineers can achieve better outcomes with fewer inputs, making the system more robust and adaptable.
