How MIT’s Attention Matching Shrinks AI Memory by 50x Without Breaking Anything
How MIT’s Attention Matching Shrinks AI Memory by 50x Without Breaking Anything – Large language models do not think the way humans do. They generate responses one word (technically one “token”) at a time. Every single time the model predicts the next word, it needs to look back at everything said so far in the conversation to make sure the new word makes sense in context.
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