Discuss the importance of training data for language models.
Training data is crucial for language models as it serves as the foundation upon which they learn to operate. The quality, quantity, and diversity of the training data directly influence the model's ability to generate accurate and contextually appropriate responses. A well-curated dataset helps the model grasp various language styles, terminologies, and contexts, ultimately leading to better performance in real-world applications.