Best Practices for Leveraging Azure OpenAI in Constrained Optimization Scenarios

Constrained optimization problems come up in various fields and range from scheduling and logistics to financial planning and resource allocation. By leveraging Generative AI (GenAI) to solve these complex decision-making tasks, organizations can become more efficient and productive in their operations. In this article, we will outline best practices for using GenAI in constrained optimization, using a real-world example, an AI-powered college course scheduling solution. We will also explore other applications, such as workforce scheduling and supply chain management

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