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What is the main role of the decoder in a Transformer model?Question 14Answera.To generate output tokens based on the final encoder representation.b.To compute attention scores between input and output tokens.c.Learning positional encodings.d.To encode the input sequence.

Question

What is the main role of the decoder in a Transformer model?Question 14Answera.To generate output tokens based on the final encoder representation.b.To compute attention scores between input and output tokens.c.Learning positional encodings.d.To encode the input sequence.

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Solution

The main role of the decoder in a Transformer model is to generate output tokens based on the final encoder representation. It does this by computing attention scores between input and output tokens, which helps it to focus on relevant parts of the input sequence when generating each output token. The decoder also learns positional encodings, which helps it to understand the order of the tokens in the sequence. However, the primary role is to generate the output sequence based on the input sequence and the learned attention scores.

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