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6 ChatGPT and Prompt Engineering6.1 Crafting Effective Prompts for AI-Powered PrototypingDamien Bou%u00ebvinn Learning outcomes: Upon completion of this training, you will acquire an understanding ofhow a language model such as ChatGPT functions, along with a grasp ofthe role tokens play within these models. You%u2019ll also develop skills informulating effective prompts that provide clear, specific, and directiveinstructions to ChatGPT. You%u2019ll learn how to offer ample context for yourprompts to elicit more relevant responses. Furthermore, the training willfacilitate hands-on experience in prompt iteration, which will enable youto fine-tune your interactions with ChatGPT for improved results.n Keywords:ChatGPT, prompt engineering, language models, tokens, context,iterationIntroduction In our rapidly evolving technological landscape, the role of artificial intelligence(AI) has become increasingly prominent, touching various aspects of our livesand work. Among the various AI tools, ChatGPT, a large language modeldeveloped by OpenAI, stands as a remarkable invention. It has the capabilityto generate human-like text, making it a valuable resource in a myriad ofapplications, from drafting emails to creating written content, and from tutoringin diverse subjects to brainstorming ideas for new projects.At the core of this technology lies a language model, a kind of AI model thatgenerates, understands, and classifies text. ChatGPT, in particular, has beentrained on a diverse range of internet text. However, it%u2019s crucial to understandthat ChatGPT, like all language models, doesn%u2019t %u201cthink%u201d or %u201cunderstand%u201d in theway humans do. Rather, it predicts the most likely next word or sequence ofwords based on its training data.A critical point to underscore is that ChatGPT doesn%u2019t attribute meaning orintention to the text it generates. Instead, it%u2019s the person reading the response1806 ChatGPT and Prompt EngineeringCrafting Effective Prompts for AI-Powered Prototyping