Tabnine: Not Your Mother’s Autocomplete #GPT2 #Transformer #Machinelearning @TabNineInc
Tabnine utilizes OpenAIs GPT-2 transformer model to create an AI autocomplete tool that ‘helps you write code faster’. The Deep TabNine beta release was announced last week on Twitter and is now available for download. You can find installation and project details on the Deep TabNine blog post.
Deep TabNine is based on GPT-2, which uses the Transformer network architecture. This architecture was first developed to solve problems in natural language processing. Although modeling code and modeling natural language might appear to be unrelated tasks, modeling code requires understanding English in some unexpected ways. For example, we can make the model negate words with an if/else statement
If you would like to learn more about the GPT-2 transformer model take a look at the publication or try implementing the code!
Eink, E-paper, Think Ink – Collin shares six segments pondering the unusual low-power display technology that somehow still seems a bit sci-fi – http://adafruit.com/thinkink
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