This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
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Multi-constraint reinforcement learning in complex robot environments

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
Lycoming College

Actuarial Science Learning Goals

Compute a derivative Compute an integral Establish the convergence of an infinite series, and find its sum in certain common cases Be able to solve a variety of kinds of equations, as well as ...