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64 lines
1.2 KiB
Markdown
64 lines
1.2 KiB
Markdown
# Standard Prompts
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We have tried a very simple prompt above. A standard prompt has the following format:
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```
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<Question>?
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```
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This can be formatted into a QA format, which is standard in a lot of QA dataset, as follows:
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```
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Q: <Question>?
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A:
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```
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Given the standard format above, one popular and effective technique to prompting is referred to as few-shot prompting where we provide exemplars. Few-shot prompts can be formatted as follows:
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```
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<Question>?
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<Answer>
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<Question>?
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<Answer>
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<Question>?
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<Answer>
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<Question>?
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```
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And you can already guess that its QA format version would look like this:
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```
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Q: <Question>?
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A: <Answer>
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Q: <Question>?
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A: <Answer>
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Q: <Question>?
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A: <Answer>
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Q: <Question>?
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A:
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```
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Keep in mind that it's not required to use QA format. The format depends on the task at hand. For instance, you can perform a simple classification task and give exemplars that demonstrate the task as follows:
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*Prompt:*
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```
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This is awesome! // Positive
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This is bad! // Negative
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Wow that movie was rad! // Positive
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What a horrible show! //
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```
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*Output:*
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```
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Negative
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```
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Few-shot prompts enable in-context learning which is the ability of language models to learn tasks given only a few examples. We will see more of this in action in the upcoming guides. |