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Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

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书名:Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI OutputsYGQ百睿谷-专注Kindle电子书资源和Kindle英文电子书的网站
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作者:James PhoenixYGQ百睿谷-专注Kindle电子书资源和Kindle英文电子书的网站
YGQ百睿谷-专注Kindle电子书资源和Kindle英文电子书的网站
简介:Prompt Engineering for Generative Future-Proof Inputs for Reliable AI Outputs is purchased directly from the publisher or approved distributor and spiraled by a 3rd party. Seller is not affiliated with, endorsed by, or pre-authorized by the publisher or author for the spiral listing. Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. 
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