Non-Obvious Prompt Engineering Guide

This article provides unique insights into prompt engineering that aren't covered in other tutorials. It explains the autoregressive nature of LLMs, where the generation of content depends on predicting the next word based on previous text. The guide also highlights various techniques such as breaking down problems into smaller steps and using specific examples to improve the effectiveness of the models.

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