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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 series, you have learned the key concepts and use cases of prompt engineering, such as: How to structure and organize your prompts How to use parameters and modifiers to fine-tune your prompts How to leverage existing templates and examples How to evaluate and improve your prompts How to become a prompt engineer You have also learned how to use prompt engineering for various tasks and applications, such as: Summarizing Inferring Transforming Expanding Chat Workflow By the end of this video series, you have gained a better understanding of what prompt engineering is, how it works, and why it matters. You have also learned some tips and tricks to create your own prompts and explore the amazing possibilities of generative AI. If you are ready to dive into the world of prompt engineering, then stay tuned and enjoy the video! More @https://learn.deeplearning.ai Conclusion : https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/9/conclusion Full Course : https://www.youtube.com/playlist?list=PL-Sya592UvbeBc_7I7_jYlYaJqgGSeqnw Channel Link : https://youtube.com/@wondboi?sub_confirmation=1
