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==Introduction== | ==Introduction== | ||
[[Prompt engineering]] is an emerging research area within Human-Computer Interaction (HCI) that involves the formal search for [[prompts]] to produce desired outcomes from [[AI models]]. This process involves selecting and composing sentences to achieve a certain result, such as a specific visual style in [[text-to-image models]] or a different tone in the response of a [[text-to-text models|text-to-text one]]. Unlike the hard sciences of STEM fields, this is an evolving technique based on trial and error to produce effective AI outcomes. <ref name="”1”">Bouchard, L (2022). Prompting eExplained: How to Talk to ChatGPT. Louis Bouchard. https://www.louisbouchard.ai/prompting-explained/</ref> <ref name="”2”">Oppenlaender, J (2022). A Taxonomy of Prompt Modifiers for Text-To-Image Generation. arXiv:2204.13988v2</ref> <ref name="”3”">Liu, V and Chilton, LB (2021). Design Guidelines for Prompt Engineering Text-to-Image Generative Models. arXiv:2109.06977v2</ref> Prompt engineers serve as translators between "human language" and "AI language," transforming an idea into words that the AI model can comprehend. <ref name="”1”"></ref> | [[Prompt engineering]] is an emerging research area within Human-Computer Interaction (HCI) that involves the formal search for [[prompts]] to produce desired outcomes from [[AI models]]. This process involves selecting and composing sentences to achieve a certain result, such as a specific visual style in [[text-to-image models]] or a different tone in the response of a [[text-to-text models|text-to-text one]]. Unlike the hard sciences of STEM fields, this is an evolving technique based on trial and error to produce effective AI outcomes. <ref name="”1”">Bouchard, L (2022). Prompting eExplained: How to Talk to ChatGPT. Louis Bouchard. https://www.louisbouchard.ai/prompting-explained/</ref> <ref name="”2”">Oppenlaender, J (2022). A Taxonomy of Prompt Modifiers for Text-To-Image Generation. arXiv:2204.13988v2</ref> <ref name="”3”">Liu, V and Chilton, LB (2021). Design Guidelines for Prompt Engineering Text-to-Image Generative Models. arXiv:2109.06977v2</ref> Prompt engineers serve as translators between "human language" and "AI language," transforming an idea into words that the AI model can comprehend. <ref name="”1”"></ref> | ||
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Therefore, this field is important for the generation of high-quality [[AI-generated outputs]]. [[Text-to-image models]], in particular, face limitations in their text encoders, making prompt design even more crucial to produce aesthetically pleasing images with current models. <ref name="”4”"></ref> These models work based on caption matching techniques and are pre-trained using millions of [[text-image datasets]]. While a result will be generated for any prompt, the quality of the artwork is directly proportional to the quality of the prompt. <ref name="”6”">Raj, G (2022). How to Write Good Prompts for AI Art Generators: Prompt Engineering Made Easy. Decentralized Creator. https://decentralizedcreator.com/write-good-prompts-for-ai-art-generators/</ref> | Therefore, this field is important for the generation of high-quality [[AI-generated outputs]]. [[Text-to-image models]], in particular, face limitations in their text encoders, making prompt design even more crucial to produce aesthetically pleasing images with current models. <ref name="”4”"></ref> These models work based on caption matching techniques and are pre-trained using millions of [[text-image datasets]]. While a result will be generated for any prompt, the quality of the artwork is directly proportional to the quality of the prompt. <ref name="”6”">Raj, G (2022). How to Write Good Prompts for AI Art Generators: Prompt Engineering Made Easy. Decentralized Creator. https://decentralizedcreator.com/write-good-prompts-for-ai-art-generators/</ref> | ||
== | ==Image Generation== | ||
'''[[Prompt engineering for image generation]]''' | '''[[Prompt engineering for image generation]]''' | ||
== | ==Text Generation== | ||
'''[[Prompt engineering for text generation]]''' | '''[[Prompt engineering for text generation]]''' | ||