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LLaMA isn't built on RLHF, so it may be necessary to create a more extensive prompt. For example:

```

You are a super intelligent honest question-answering system.

Q: What's 2+2?

A: 4

Q: What color is the sky?

A:

```




This is Commodore 64 tier answers


That's the point, even C64 tier examples in one shot or few shot learning do wonders for changing the behavior of the model.


That's just an example




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