A team is training a language model to provide medical summaries for doctors. They find that using a single reward model trained on 'overall quality' produces outputs that are often either factually accurate but too brief, or comprehensive but containing minor inaccuracies. To address this trade-off and improve the model's reliability, which of the following approaches to designing the reward system is most likely to be successful?

Designing a Reward System for an AI Tutor

An e-commerce company is developing a customer service chatbot using multiple specialized reward models, each focused on a different aspect of response quality. Match each desired chatbot behavior with the specialized reward model best suited to evaluate it.