A company fine-tunes a large language model to act as a customer service agent. The training dataset consists of thousands of conversation logs where human agents successfully resolved customer complaints. A common pattern in these successful logs is that the agent apologizes and offers a small discount. After deployment, the company observes that the AI agent apologizes and offers discounts for every single complaint, even for issues that are not the company's fault or for which a technical solution is required. Based on the principles of supervised fine-tuning, analyze the most likely reason for this specific, undesirable behavior.