What is the self-attention mechanism?
A mechanism that scores how relevant other words in the input are to a target word, helping resolve pronoun references (e.g., what 'it' refers to).
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More FAQs in How the Transformer Architecture Changed AI Forever
LSTMs must process words sequentially, one by one. Transformers process all words at once in parallel, leveraging GPU architectures.
GPT is a decoder-only model, optimized for generating text token by token.
BERT is an encoder-only model, designed to understand context and fill in missing words, widely used for search and classification.
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