The article details the differences between decoder-only transformers and standard encoder-decoder transformers, focusing on their mechanisms for processing inputs and generating outputs. Decoder-only models use masked self-attention throughout, enabling them to generate sequences without seeing future context, which is crucial for tasks like language modeling where understanding previous context is key.
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Ali NematiWritten by Ali
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