What it does
Jev picks strategic preferences while a traditional engine searches for moves on a chess.com board.
Benchmarks & research
Experimental Study: Non-Autoregressive Decision Architecture in Strategic Chess using TypeSafe AI Jev
Bookmark: Experimental Study: Non-Autoregressive Decision Architecture in Strategic Chess using TypeSafe AI Jev
Keep this in your collection.
Leave a noteWhat would you try with this?
: Experimental Study: Non-Autoregressive Decision Architecture in Strategic Chess using TypeSafe AI Jev
Only you can see your notes.
Screenshot unavailable. Open the experiment ↗
How you can use it
Try this division of work in your own strategy game: ordinary game code searches moves, while AI compares broader plans. A developer can start by giving Jev a short list of checked moves. Keep the final choice in game code. The maker's reported chess wins do not establish that the approach will win in another game.