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In 2017, researchers at Google released the transformer architecture, that has been used to establish huge language products, like the ones that energy ChatGPT. In all-natural language processing, a transformer encodes Each individual term inside a corpus of textual content as being a token and after that generates an consideration map, which captures Each and every token’s interactions with all other tokens. This attention map assists the transformer have an understanding of context when it generates new textual content.
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