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Autocompletion with deep learning


This looks really interesting

TabNine is an autocompleter that helps you write code faster by adding a deep learning model which significantly improves suggestion quality. You can see videos at the link above.

There has been a lot of hype about deep learning in the past few years. Neural networks are state-of-the-art in many academic domains, and they have been deployed in production for tasks such as autonomous driving, speech synthesis, and adding dog ears to human faces. Yet developer tools have been slow to benefit from these advances

Deep TabNine is trained on around 2 million files from GitHub. During training, its goal is to predict each token given the tokens that come before it. To achieve this goal, it learns complex behaviour, such as type inference in dynamically typed languages.

An interesting idea, my only concern is the quality of code in the training set.

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