Enhancing Language Models’ Reasoning Through Quiet-STaR: A Revolutionary Artificial Intelligence Approach to Self-Taught Rational Thinking

In the quest for artificial intelligence that can mimic human reasoning, researchers have embarked on a journey to enhance language models (LMs) ability to process and generate text with a depth of understanding that parallels human thought. LMs excel at recognizing patterns in data and producing text based on statistical likelihoods. Yet, they need to […]

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