{"id":9707,"date":"2023-04-14T18:00:42","date_gmt":"2023-04-14T18:00:42","guid":{"rendered":"https:\/\/www.britopian.com\/?p=9707"},"modified":"2023-05-30T12:46:24","modified_gmt":"2023-05-30T12:46:24","slug":"chatgpt-prompts-engineering","status":"publish","type":"post","link":"https:\/\/www.britopian.com\/content\/chatgpt-prompts-engineering\/","title":{"rendered":"ChatGPT Prompts Engineering for Generative AI: List of Resources"},"content":{"rendered":"
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[Updated: May 30, 2023]<\/strong><\/p>\n\n\n\n

Without a doubt, you’ve heard of prompt engineering for Generative AI. This involves designing and fine-tuning prompts or instructions to increase the precision and applicability of a generative AI model’s outputs, like ChatGPT.<\/p>\n\n\n\n

You need to be familiar with the underlying AI algorithms and the particular use case you aim for to implement prompt engineering successfully. It can be difficult, but choosing the best input data format and creating a clear, concise prompt are necessary for generating high-quality outputs.<\/p>\n\n\n\n

In applications like natural language processing (NLP), where precision and relevance are crucial, prompt engineering is the only way to get the best results. With prompt engineering, you can ensure that your AI model generates outputs pertinent to the user’s needs and expectations.<\/p>\n\n\n\n

Table of Contents<\/strong><\/p>\n\n\n\n