Large language models (LLMs) are more accurate when they output intermediate steps. A strategy called reinforcement can teach them to do this without being told. The researchers introduced a paradigm ...
Chinese AI company DeepSeek has shown it can improve the reasoning of its LLM DeepSeek-R1 through trial-and-error based reinforcement learning, and even be made to ...
Trial-and-error may help older adults to learn better, a Canadian study suggests. The experiments compared results on memory tests after trial-and-error learning and ...
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