Optimization plays a pivotal role in a diverse array of real-world applications. Nevertheless, traditional optimization algorithms often demand substantial manual intervention to tailor them to specific tasks, grappling with the intricacies posed by the decision space and performance landscape. To tackle this challenge head-on, a Google DeepMind research team has introduced a groundbreaking approach in their recent paper titled “Large Language Models as Op