A development team has a powerful language model that generates coherent text but struggles to follow specific user commands. To improve the model's ability to act on commands like 'Write a poem about the ocean' or 'Explain this concept in simple terms', which of the following training approaches is most appropriate?

A research team has a large language model pre-trained on a vast corpus of text. The model is excellent at generating fluent, human-like sentences. However, when prompted with a specific command like "Translate 'hello' to French," it often responds with a related English sentence like "'hello' is a common greeting" instead of "bonjour." To fix this, the team uses a dataset of command-response pairs to further train the model. Which statement best analyzes the core principle of this adaptation technique?

Explaining Instruction Fine-Tuning