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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 inferring, such as: How to extract hidden or implicit information from a text How to infer sentiment, emotion, topic, and other attributes How to use examples and modifiers to guide the model How to use zero-shot and few-shot techniques How to evaluate and improve your inferences By the end of this video, you will have a better understanding of how to use prompt engineering to generate high-quality and relevant inferences 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 Inferring : https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/5/inferring Full Course : https://www.youtube.com/playlist?list=PL-Sya592UvbeBc_7I7_jYlYaJqgGSeqnw Channel Link : https://youtube.com/@wondboi?sub_confirmation=1
