A team is developing a system to generate a single, high-quality sentence by leveraging two different language models. They are considering two approaches:

• Approach 1: Generate a complete sentence from Model A and a complete sentence from Model B. Then, analyze these two final sentences to create a single, blended output.
• Approach 2: To decide on the very first word, get the probability scores for all possible words from both Model A and Model B, average these scores, and pick the word with the highest average. Repeat this step-by-step process for each subsequent word until a full sentence is formed.

Based on these descriptions, what is the fundamental difference in what is being combined and when the combination occurs in Approach 2 compared to Approach 1?