Prompt Reverse Eng

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title: "Is this the best way to do this?"
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# Here's a prompt, how could I use an LLM most effectively?

The idea with this prompting strategy is pretty simple:

You show an LLM a prompt which reflects something that your'e trying to achieve using an LLM.

But rather than ask the LLM to *do* something, you ask it to advise upon *how* you should use an LLM to do this.

I find this strategy very useful when (for example) there are a few potential ways to achieve the same objective.

Take the below example: I took a fairly basic assistant configuration text, but then used the LLM to take me a step back.

Roughly saying something like:

> Let's pause for a moment. Is configuring this as an assistant actually the most logical way to achieve this pretty simple job? What about using a prompt template? Or ... perhaps you can think of a better idea again?

Like many, this prompting strategy works off the assumed premise that LLMs have good foundational/domain knowledge about prompt engineering and LLMs  - which isn't always a safe one.

*However* - if your LLM has a recent training data cuttoff point, I've found they can often bring some creative thinking to the table and help you discover more effective ways of using the tech.

## Example Prompt

Here's a draft configuration for an LLM assistant. Do you think the best way to implement this would be:

1) As a custom assistant
2) As a prompt template
3) Using some other method

Provide both your recommendation and reasoning

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## Model Configuration (Added As Context)