Predictive Writing Autocomplete
Cursor for writing uses Jev to predict the next word as a user types. It keeps a history of the user's previous 1,000 sentences and uses binary trees to speed up predictions.
Introducing Cursor for writing.
Who says Jev can't generate text?
Is Jev fast enough to finally solve auto-complete?
Code is a lot easier to predict, so how does it work?
It keeps a history of your previous 1000 sentences to predict the next word faster and better as you keep typing with binary trees to speed it up.
As you type more, it gets better at predicting your next word until it actually accelerates writing.
Built with Jev from @typesafeai
Also filed under Tools & apps
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- Open-Model Semantic-If Engine
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- Open-Weight Jev Decision Model
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