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		<title>Prompt-Engineering on ChengAo Shen</title>
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				<title>⚽️ Introduction to Prompt Engineering</title>
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				<pubDate>Mon, 15 Jul 2024 00:00:00 +0000</pubDate>
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				<description>&lt;h2 id=&#34;basic-knowledge&#34;&gt;&#xA;  Basic Knowledge&#xA;  &lt;a class=&#34;heading-link&#34; href=&#34;#basic-knowledge&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-link&#34; aria-hidden=&#34;true&#34; title=&#34;Link to heading&#34;&gt;&lt;/i&gt;&#xA;    &lt;span class=&#34;sr-only&#34;&gt;Link to heading&lt;/span&gt;&#xA;  &lt;/a&gt;&#xA;&lt;/h2&gt;&#xA;&lt;p&gt;&lt;strong&gt;Prompt engineering&lt;/strong&gt; is a relatively new discipline for developing and optimizing prompts to efficiently use large lange models (LLMs) for a wide variety of applications and research topics. Researchers use prompt engineering to improve the safety and the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.&lt;/p&gt;</description>
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