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Prompt: Difference between revisions

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It's relevant that prompts are written in a way that the generative model will understand since there is a direct relation between prompt quality and its output. <ref name="”1”"></ref> <ref name="”2”"></ref> For example, to obtain high-quality art it is necessary to provide adequate prompts with curated keywords. <ref name="”1”"></ref>
It's relevant that prompts are written in a way that the generative model will understand since there is a direct relation between prompt quality and its output. <ref name="”1”"></ref> <ref name="”2”"></ref> For example, to obtain high-quality art it is necessary to provide adequate prompts with curated keywords. <ref name="”1”"></ref>


Prompt design has become a relevant field of study and experimentation since it plays an essential role in the generation quality. Prompt design or engineering is the adjustment of the textual input for the model to better understand the intentions of the user and produce higher-quality results. <ref name="”3”">Hao, Y, Chi, Z, Dong, L and Wei, F (2022). Optimizing prompts for pext-to-image generation. arXiv:2212.09611v1</ref> Indeed, according to Hao et al. (2022), "empirical observations also confirm that common user input is often insufficient to produce aesthetically pleasing images with current models." <ref name="”3”"></ref> These improvements can be achieved in all forms of AI generative systems, creating better stories, summaries, images, or videos. <ref name="”1”"></ref> <ref name="”4”">Bouchard, L (2022). Prompting explained: How to talk to ChatGPT. Louis Bouchard. https://www.louisbouchard.ai/prompting-explained/</ref>
[[Prompt design]] has become a relevant field of study and experimentation since it plays an essential role in the generation quality. Prompt design or [[Prompt engineering|engineering]] is the adjustment of the textual input for the model to better understand the intentions of the user and produce higher-quality results. <ref name="”3”">Hao, Y, Chi, Z, Dong, L and Wei, F (2022). Optimizing prompts for pext-to-image generation. arXiv:2212.09611v1</ref> Indeed, according to Hao et al. (2022), "empirical observations also confirm that common user input is often insufficient to produce aesthetically pleasing images with current models." <ref name="”3”"></ref> These improvements can be achieved in all forms of AI generative systems, creating better stories, summaries, images, or videos. <ref name="”1”"></ref> <ref name="”4”">Bouchard, L (2022). Prompting explained: How to talk to ChatGPT. Louis Bouchard. https://www.louisbouchard.ai/prompting-explained/</ref>


Julia Turc, the author of the article “Crafting Prompts for Text-to-Image Models”, argues that prompting “is the newest and most extreme form of transfer learning: a mechanism that allows previously-trained model weights to be reused in a novel context.” She further expounds that “each request for an image can be seen as a new task to be accomplished by a model that was pre-trained on a vast amount of data. In a way, prompting has democratized transfer learning, but has not yet made it effortless. Writing effective prompts can require as much work as picking up a new hobby.“ <ref name="”5”">Turc, J (2022). Crafting prompts for text-to-image models. Towards Data Science. https://towardsdatascience.com/the-future-of-crafting-prompts-for-text-to-image-models-fc7d9614cb65 </ref>
Julia Turc, the author of the article “Crafting Prompts for Text-to-Image Models”, argues that prompting “is the newest and most extreme form of transfer learning: a mechanism that allows previously-trained model weights to be reused in a novel context.” She further expounds that “each request for an image can be seen as a new task to be accomplished by a model that was pre-trained on a vast amount of data. In a way, prompting has democratized transfer learning, but has not yet made it effortless. Writing effective prompts can require as much work as picking up a new hobby.“ <ref name="”5”">Turc, J (2022). Crafting prompts for text-to-image models. Towards Data Science. https://towardsdatascience.com/the-future-of-crafting-prompts-for-text-to-image-models-fc7d9614cb65 </ref>