Large Language Models like GPT-3 exhibit exceptional capabilities in complex reasoning tasks. The key to unlocking advanced reasoning abilities lies in the 'chain of thought' approach, which allows models to generate intermediate reasoning steps before arriving at the final answer. This approach improves reasoning abilities in transformers by enabling them to perform serial computations.
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