![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgpCC5h5XpdQO-aJwDtFJrTpvFh_0C6RiA0Fb5HXkWDXG0Y4LqQFsUgzg4fheiU-AxMJ6ScIv-Pv4d8Krih9NcijwqCbf2W1HM5OFfSCU0GnCUN5kiUmLBG8hkQzIltT3p_aOM9nBO1fsAF/s1600/gmail-smart-reply.png)
Smart Reply uses machine learning to figure out if a short reply is appropriate and then predicts likely responses. "The Smart Reply System is built on a pair of recurrent neural networks, one used to encode the incoming email and one to predict possible responses. The encoding network consumes the words of the incoming email one at a time, and produces a vector (a list of numbers). The second network starts from this thought vector and synthesizes a grammatically correct reply one word at a time, like it's typing it out. Amazingly, the detailed operation of each network is entirely learned, just by training the model to predict likely responses."
{ Thanks, Jonah Langlieb. }
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