A research team is developing a system to automatically generate effective prompts for a specific task. They integrate a small, trainable network module with a very large, pre-trained language model. During the training process, they only update the parameters of this small module, keeping the original large model's parameters unchanged. The training is guided by rewards from a separate evaluation model that assesses the quality of the generated prompts. Which of the following best analyzes the primary advantage of this training approach?

A team is implementing a reinforcement learning-based system to generate optimized prompts. The system consists of a base large language model (LLM) and a smaller, trainable adaptor network that functions as the policy network. Arrange the following steps to describe a single iteration of the training loop for this system.

Troubleshooting a Prompt Generation System