Why are Transformers faster to train than LSTMs?
LSTMs must process words sequentially, one by one. Transformers process all words at once in parallel, leveraging GPU architectures.
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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).
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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