A company develops a customer support chatbot. They train a general-purpose language model on a large, high-quality dataset consisting of thousands of ideal customer questions and perfectly crafted, helpful, and safe responses. After this training phase, the company deploys the chatbot. While it performs well on common queries, it is soon discovered that when users ask complex, multi-part questions or express frustration in unusual ways, the chatbot occasionally provides factually incorrect information or responds with a subtly unhelpful, dismissive tone. Based on this scenario, evaluate the company's training approach and explain the most likely reason for the chatbot's undesirable behaviors.