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hi folks welcome back I hope youre all doing well so today I want to take a look at a paper which I was drawn to because I wanted to understand what this new and emerging field of prompt engineering is about and this paper looks at how to approach that in a more systematized way youve probably seen a number of large language models get a lot of Buzz and popularity lately things like gpt3 for text or stable diffusion and mid-journey for images and these are all very very large machine learning models and the input to these models is a prompt its a natural language prompt using which you elicit an output from the model and that output could be text as in the case of gpd3 or even code in models like copilot or images in models like mid-journey or stable diffusion because of this kind of setup the initial prompt to the model has been become a really important thing in order to get good results what the authors are trying to do in this paper is come up with a more structured system for
