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Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation and heuristics. This post only focuses on prompt engineering for autoregressive language models, so nothing with Cloze tests, image generation or multimodality models.

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That they reacted quickly, they reacted comprehensively, the use tools. the reality is, they had to make the case that he was the one and appeared to have done it quickly. i think for the public, that tells us how much improvement has been made since 9/11 in the quick response to a terrorist threat and it doesn't matter whether this bombs could go off or not. we cannot tolerate people terrorizing where the political speech or whatever individuals for what they believe. >> harris: i so thank you for those words, no doubt you've heard from the president today calling on unity for americans to sh...