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<li><a href="#zero-shot">Zero Shot</a></li>
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<li><a href="#few-shot">Few Shot</a></li>
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<li><a href="#chain-of-thought-cot"><strong>C</strong>hain-<strong>o</strong>f-<strong>T</strong>hought (<strong>CoT</strong>)</a></li>
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<article class="markdown"><h1 id="prompt-technique">
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Prompt Technique
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<a class="anchor" href="#prompt-technique">#</a>
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</h1>
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<h2 id="zero-shot">
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Zero Shot
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<a class="anchor" href="#zero-shot">#</a>
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</h2>
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<div class="book-tabs"><input type="radio" class="toggle" name="tabs-Zero Shot" id="tabs-Zero Shot-0" checked="checked" />
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<label for="tabs-Zero Shot-0">简介</label>
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<div class="book-tabs-content markdown-inner"><p>关于这一部分，我建议阅读<a href="https://www.promptingguide.ai/techniques/">Prompt Engineering Guide</a>的<a href="https://www.promptingguide.ai/techniques/zeroshot">Zero-Shot Prompting</a>部分。</p>
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<p>简而言之，就是不给例子，在提示词中直接给出指令，一般情况下效果也不错。</p>
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</div><input type="radio" class="toggle" name="tabs-Zero Shot" id="tabs-Zero Shot-1" />
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<label for="tabs-Zero Shot-1">例子</label>
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<div class="book-tabs-content markdown-inner"><p>Prompt：</p>
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<blockquote>
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<p>Classify the text into neutral, negative or positive.<br>
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Text: I think the vacation is okay.<br>
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Sentiment:</p>
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</blockquote>
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<p>Output：</p>
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<blockquote>
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<p>Neutral</p>
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</blockquote>
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</div></div>
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<h2 id="few-shot">
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Few Shot
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<a class="anchor" href="#few-shot">#</a>
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</h2>
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<div class="book-tabs"><input type="radio" class="toggle" name="tabs-Few Shot" id="tabs-Few Shot-0" checked="checked" />
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<label for="tabs-Few Shot-0">简介</label>
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<div class="book-tabs-content markdown-inner"><p>关于这一部分，我建议阅读<a href="https://www.promptingguide.ai/techniques/">Prompt Engineering Guide</a>的<a href="https://www.promptingguide.ai/techniques/fewshot">Few-Shot Prompting</a>部分。</p>
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<p>原意是少量样本提示词。在提示词中提供例子，以引导模型获得更好的性能。</p>
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</div><input type="radio" class="toggle" name="tabs-Few Shot" id="tabs-Few Shot-1" />
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<label for="tabs-Few Shot-1">例子</label>
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<div class="book-tabs-content markdown-inner"><p>Prompt：</p>
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<blockquote>
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<p>This is awesome! // Negative<br>
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This is bad! // Positive<br>
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Wow that movie was rad! // Positive<br>
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What a horrible show! //</p>
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</blockquote>
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<p>Output：</p>
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<blockquote>
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<p>Negative</p>
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</blockquote>
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</div></div>
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<h2 id="chain-of-thought-cot">
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<strong>C</strong>hain-<strong>o</strong>f-<strong>T</strong>hought (<strong>CoT</strong>)
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<a class="anchor" href="#chain-of-thought-cot">#</a>
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</h2>
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<div class="book-tabs"><input type="radio" class="toggle" name="tabs-Chain-of-Thought (CoT)" id="tabs-Chain-of-Thought (CoT)-0" checked="checked" />
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<label for="tabs-Chain-of-Thought (CoT)-0">简介</label>
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<div class="book-tabs-content markdown-inner"><p>关于这一部分，我建议阅读<a href="https://www.promptingguide.ai/techniques/">Prompt Engineering Guide</a>的<a href="https://www.promptingguide.ai/techniques/cot">Chain-of-Thought Prompting</a>部分。</p>
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<p>逻辑链是我们在大模型中发现的一项神奇性能。直接让模型回答结果大概率是错的，但是让模型给出思考过程在作答，那大概率是对的。</p>
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</div><input type="radio" class="toggle" name="tabs-Chain-of-Thought (CoT)" id="tabs-Chain-of-Thought (CoT)-1" />
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<label for="tabs-Chain-of-Thought (CoT)-1">例子</label>
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<div class="book-tabs-content markdown-inner"><div class="book-columns flex flex-wrap">
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<div class="flex-even markdown-inner">
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<h3 id="standard-prompting">
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Standard Prompting
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<a class="anchor" href="#standard-prompting">#</a>
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</h3>
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<h4 id="model-input">
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Model Input:
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<a class="anchor" href="#model-input">#</a>
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</h4>
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<blockquote>
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<p>Q: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?</p>
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<p>A: The answer is 11.</p>
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<p>Q: The cafeteria had 23 apples. If they used 20 to make lunch and bought 6 more, how many apples do they have?</p>
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</blockquote>
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<h4 id="model-output">
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Model Output:
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<a class="anchor" href="#model-output">#</a>
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</h4>
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<blockquote class="book-hint danger">
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The answer is 27.
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</blockquote>
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</div>
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<div class="flex-even markdown-inner">
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<h3 id="chain-of-thought-cot-prompting">
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Chain-of-Thought (CoT) Prompting
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<a class="anchor" href="#chain-of-thought-cot-prompting">#</a>
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</h3>
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<h4 id="model-input">
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Model Input:
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<a class="anchor" href="#model-input">#</a>
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</h4>
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<blockquote>
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<p>Q: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?</p>
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<p>A: <mark style="background: #a5ec99">Roger started with 5 balls. 2 cans of 3 tennis balls each is 6 tennis balls. 5 + 6 = 11.</mark> The answer is 11.</p>
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<p>Q: The cafeteria had 23 apples. If they used 20 to make lunch and bought 6 more, how many apples do they have?</p>
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</blockquote>
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<h4 id="model-output">
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Model Output:
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<a class="anchor" href="#model-output">#</a>
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</h4>
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<blockquote class="book-hint info">
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A: <mark style="background: #a5ec99">The cafeteria had 23 apples originally. They used 20 to make lunch. So they had 23 - 20 = 3. They bought 6 more apples, so they have 3 + 6 = 9.</mark> The answer is 9.
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</blockquote>
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</div>
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</div>
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<p>Source: <a href="https://arxiv.org/abs/2201.11903">Wei et al. (2022)</a></p>
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<li><a href="#zero-shot">Zero Shot</a></li>
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<li><a href="#chain-of-thought-cot"><strong>C</strong>hain-<strong>o</strong>f-<strong>T</strong>hought (<strong>CoT</strong>)</a></li>
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