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Merge pull request microsoft#186 from VivekYadavOfficial/patch-1
correct typo in chain-of-thought
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05-advanced-prompts/README.md

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@@ -61,7 +61,7 @@ There are some basic techniques that we can use to prompt an LLM. Let's explore
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- **Few shot prompting**, this is the most basic form of prompting. It's a single prompt with a few examples.
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- **Chain-of-thought**, this type of prompting tells the LLM how to break down a problem into steps.
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- **Generated knowledge**, to improve the response of a prompt, you can provide generated facts or knowledge additionally to your prompt.
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- **Least to most**, like chain-of-though, this technique is about breaking down a problem into a series of steps and then ask these steps to be performed in order.
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- **Least to most**, like chain-of-thought, this technique is about breaking down a problem into a series of steps and then ask these steps to be performed in order.
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- **Self-refine**, this technique is about critiquing the LLM's output and then asking it to improve.
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- **Maieutic prompting**. What you want here is to ensure the LLM answer is correct and you ask it to explain various parts of the answer. This is a form of self-refine.
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