When using a tokenizer with a fixed number of words, what could be a potential drawback?
Answer options
A
Limited understanding due to missed words
B
Slows down training
C
Increases memory usage
D
Simplifies the model
E
Enhances accuracy
Correct answer: Limited understanding due to missed words
Explanation
The source marks the correct answer as: Limited understanding due to missed words.