Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

This is a preview. Log in through your library . Abstract The problem considered concerns the selection of a portfolio of U. S. Treasury securities to provide annual payments to a plaintiff for ...

Some important conceptual problems concerning the application of chance constrained programming (CCP) to risky practical decision problems are discussed by comparing CCP to stochastic programming with ...

ok i have been doing this problem for days now and just can't get it going.. tried about 5 different ways but i dont know. Please help. Best answer gets the points. Radmore Memorial Hospital has a ...