Prompt Engineering Guide

In his recent video, Matthew Berman provides an in-depth guide on prompt engineering, aimed at helping users maximize the potential of AI models like ChatGPT and Gemini. He explains the fundamental concepts of prompt engineering, including the importance of prompt structure, output settings, and sampling controls. The video covers various prompting techniques such as zero-shot, one-shot, and few-shot prompting, as well as advanced strategies like chain of thought and self-consistency. Berman emphasizes the significance of clear instructions and provides practical examples to illustrate each concept, making it accessible for both beginners and advanced users. The guide aims to equip viewers with the skills needed to effectively communicate with AI models and obtain desired results.