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In 2017, researchers at Google launched the transformer architecture, which has been utilized to produce large language models, like those that electrical power ChatGPT. In organic language processing, a transformer encodes Every word inside a corpus of text to be a token and then generates an consideration map, which captures Every single token’s interactions with all other tokens. This awareness map allows the transformer have an understanding of context when it generates new text.
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