Article: Maximizing the Utility of Large Language Models (LLMs) through Prompting

In this article, authors Numa Dhamani and Maggie Engler discuss how prompt engineering techniques can help use the large language models (LLMs) more effectively to achieve better results. Prompting techniques discussed include few-shot, chain-of-thought, self-consistency, and tree-of-thoughts prompting.

By Numa Dhamani, Maggie Engler

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