A research lab is planning a fine-tuning project. They are considering two base models: Model A with 7 billion parameters and Model B with 70 billion parameters. They also have two potential datasets: Dataset X with 100,000 examples and Dataset Y with 1,000,000 examples. Analyze the factors that contribute to the computational cost of this project and identify which combination of model and dataset would be the most resource-intensive. Justify your reasoning.