A transformer is a type of neural network architecture that processes an entire sequence of data at once and uses a mechanism called attention to weigh how much each part relates to every other part. This lets it capture context across long passages of text efficiently. Introduced in 2017, the transformer is the architecture behind today's large language models such as GPT and Claude.
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