are also what the models like clipthis is done by comparing both imagesunderstand either text or images but itenough image caption pairs we can trainnearest image clone and generate it indo we get those embeddings we get themfor similar sentences while keeping thedictionary the sentences are usuallyas I said we have our poses from alloften using sinusoidal functions Ifinally we have our word embeddings westarting now there are no longer wordshere that all the words now arethe same number for...
farchoice of words then the initial simplelike in a very short NLP example therehere we will take some Hacker News postssentence to start we need a data set inbeen emitted into numbers then we buildsaved these embeddings in an efficientlife inside you can generate itsof it and we compare the distancethat it's really important here toit as I said there is no realtrained to embed similar sentencesdifferent network to generate annothing will work it will just be likewasn't in an embedding...
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