This project pushes the boundaries of C++ template metaprogramming by implementing a Language Model that performs inference entirely at compile-time. Instead of calculating text during runtime, the ...
The evaluation measures how well models choose risk-averse (CARA-optimal) options when presented with monetary gamble scenarios. Models are evaluated on their ability to: ...
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