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Prompt engineering is a new discipline that aims to optimize and develop prompts for efficiently using large language models (LLMs) in various applications and research topics.
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It involves designing robust and effective prompting techniques that interface with LLMs and other tools, with the goal of improving their capabilities and limitations.
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This skill set is useful for researchers and developers alike, as it allows them to improve the capacity of LLMs on common and complex tasks such as question answering and arithmetic reasoning.
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Prompt engineering involves a range of techniques and skills, including designing and developing prompts, understanding the capabilities of LLMs, and building interfaces with external tools.
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