On: Maximizing the Potential of LLMs: A Guide to Prompt Engineering

[FooBarWidget]

I don't think the training data has works of centuries-old translators.

> If you don’t know how every token of input affects the output, is engineering an accurate way to describe what you’re doing?

We in fact don't know exactly. Prompt engineering seems to be a bag of tricks that change the probabilities of outputs. But I didn't invent the term.

[alehlopeh → FooBarWidget]

So that prompt should fail then, right?

[dolmen → alehlopeh]

Prompt success is not binary as there are multiple ways of being wrong as well as multiple ways of being right.