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Prompt engineering is the art and science of designing inputs that elicit the desired outputs from large language models. In this video, you will learn how to use prompt engineering to perform text summarization, such as: How to write clear and concise instructions for summarization How to specify the length, format, and style of the summary How to use examples to guide the model How to use zero-shot and few-shot techniques How to evaluate and improve your summaries By the end of this video, you will have a better understanding of how to use prompt engineering to generate high-quality and relevant summaries for various texts and domains. If you are ready to dive into the world of prompt engineering, then stay tuned and enjoy the video! More @https://learn.deeplearning.ai Summarizing : https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/4/summarizing Full Course : https://www.youtube.com/playlist?list=PL-Sya592UvbeBc_7I7_jYlYaJqgGSeqnw Channel Link : https://youtube.com/@wondboi?sub_confirmation=1
