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This paper presents a detailed vocabulary of 33 terms and a taxonomy of 58 LLM prompting techniques, along with guidelines for prompt engineering and a meta-analysis of natural language prefix-prompting, serving as the most comprehensive survey on prompt engineering to date.
This article discusses Re2, a prompting technique that enhances reasoning in Large Language Models (LLMs) by re-reading the input twice. It improves understanding and reasoning capabilities, leading to better performance in various benchmarks.
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