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Large language models (LLMs) typically employ greedy decoding or low-temperature sampling for reasoning tasks, reflecting a perceived trade-off between diversity and accuracy.
A learning algorithm for boltzmann machines
David H Ackley, Geoffrey E Hinton, and Terrence J Sejnowski · 1985
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Special Functions of Mathematics for Engineers
Larry C. Andrews · 1998
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Schaum’s Outline of Business Statistics
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John Hewitt, Christopher D Manning, and Percy Liang · 2022
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