A financial services company uses a large language model to analyze investment reports. For each analysis, the model must be provided with a lengthy and complex 50-page document outlining the company's proprietary risk assessment framework. This process is computationally expensive and slow due to the large size of the framework document that must be processed with every single report. The company wants to make the model's analysis faster and more cost-effective without sacrificing the nuanced understanding provided by the framework. Which of the following strategies would be the most direct and effective way to achieve this?

Creating a Specialized LLM for Medical Summarization

Match each problem scenario with the most suitable application of prompt distillation.

Optimizing a Customer Support Chatbot