Ineffable prompts
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prompting fine-tuning text alignment How do we get models to do what we want? At one extreme, we might pre-train or fine-tune an entire model for a given task. At the other, we might use an existing model and tell it with words - that is, in a prompt - what to do. This paper represents a position in between those two extremes: prompt the model using not words but optimized vectors of hidden layer activations. These can be more expressive and carefully tailored than a prompt restricted to words.