Limiting the Search feature is crucial, like a magician limiting the use of their secret tricks. You don't want the model to become a one-trick pony, do you?
Ha! I bet the developers of this software are really searching for the right answer too. But seriously, it's all about keeping that model unbiased and well-rounded, folks.
This is a tricky one, but I think Darnell and Veronika are on the right track. We don't want the model to become too dependent on the Search feature and lose its ability to handle a wide range of communication scenarios.
I agree with Darnell. Limiting the use of Search is important to maintain the model's diversity and prevent it from becoming too narrow or specialized.
Option B is the correct answer. Overusing the Search feature could increase model bias by skewing the training data towards certain types of communication patterns.
Phung
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