Question: Discuss the potential benefits and drawbacks of modifying a model's architecture compared to simpler methods like increasing model size or adding data.

Sample answer: Modifying a model's architecture can be highly beneficial because it has the potential to simultaneously affect and reduce both bias and variance, making the model more suitable for a specific problem. However, the drawbacks are significant. Identifying and implementing the right architecture changes is harder than simpler methods. Furthermore, the results of trying new architectures are much less predictable than the straightforward formula of just adding more data or increasing the size of an existing model.

Key points:

• Can affect both bias and variance
• Harder to identify and implement
• Results are less predictable than adding data or increasing model size

Rubric: The response should identify the benefit (affecting both bias/variance) and the drawbacks (harder to implement, less predictable).