The Importance of Saying No to Senior Faculty Members in Academic Settings

In the comments, users discussed various aspects and uses of embeddings. They elaborated on how embeddings could represent data like text or images as n-dimensional vectors. There was also a brief debate on whether embeddings should necessarily map similar objects to similar locations in the vector space. Several users mentioned different techniques like RNN, transformer, sec2 sec, and attention mechanisms in relation to utilizing embeddings for tasks such as machine translation or encoding and decoding text.

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