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3 cards from this section. Quick, good the night before a test.
What is a transformer?
Think about how it processes language differently than previous models.
Define self-attention.
Consider what it means to focus on 'parts' in a sentence.
What does a transformer use instead of recurrence?
Think about the ways transformers analyze data differently.
True or False: Positional encoding is not important for transformers.
Consider why the order of words can change the meaning.
How would the introduction of multi-head attention change the previously linear method of processing language? Illustrate this with an example.
Consider the difference between reading each line of a book separately versus discussing its themes and characters all at once.
In what situations might positional encoding fail? Provide scenarios and suggest possible modifications.
Think about sentences that can have varied meanings based on different contexts.
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