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Enhance your ChatGPT prompts!
Here are 6 strategies that'll supercharge your ChatGPT prompts:
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- Write clear instructions
- Provide examples.
- Ask the model to adopt a persona.
- Specify the desired length of the output.
- Specify the steps required to complete a task.
- Include details in your query to get more relevant answers.
Use delimiters like triple quotation marks, XML tags, section titles, etc. to clearly indicate distinct parts of the input.
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- Provide reference text
- Instruct the model to answer using a reference text.
- Instruct the model to answer with citations from a reference text.
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- Split complex tasks into simpler subtasks
- Summarize long documents piecewise and construct a full summary recursively.
- Use intent classification to identify the most relevant instructions for a user query.
- For dialogue applications that require very long conversations, summarize or filter previous dialogue.
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- Give models time to "think"
- Ask the model if it missed anything on previous passes.
- Instruct the model to work out its own solution before rushing to a conclusion.
- Use inner monologue or a sequence of queries to hide the model's reasoning process.
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- Use external tools
- Give the model access to specific functions.
- Use embeddings-based search to implement efficient knowledge retrieval.
- Use code execution to perform more accurate calculations or call external APIs.
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- Test changes systematically
- Evaluate model outputs with reference to gold-standard answers.

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These strategies are from OpenAI's Prompt Engineering Guide.
You can find it along with prompt examples for each strategy here:
🦾 https://taaft.co/oaipromptguide
And here's a list of even more prompt examples:
🦾 https://taaft.co/oaiprompts

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