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Prompt Engineering for Generative AI
Future-Proof Inputs for Reliable AI Outputs
Taschenbuch von James Phoenix (u. a.)
Sprache: Englisch

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Beschreibung
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. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. --
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. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. --
Über den Autor
James Phoenix has a background in building reliable data pipelines for marketing teams, including automation of thousands of recurring marketing tasks. He has taught 40+ Data Science bootcamps for General Assembly.
Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781098153434
ISBN-10: 109815343X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Phoenix, James
Taylor, Mike
Hersteller: O'Reilly Media
Maße: 235 x 182 x 30 mm
Von/Mit: James Phoenix (u. a.)
Erscheinungsdatum: 30.06.2024
Gewicht: 0,725 kg
Artikel-ID: 128237413
Über den Autor
James Phoenix has a background in building reliable data pipelines for marketing teams, including automation of thousands of recurring marketing tasks. He has taught 40+ Data Science bootcamps for General Assembly.
Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781098153434
ISBN-10: 109815343X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Phoenix, James
Taylor, Mike
Hersteller: O'Reilly Media
Maße: 235 x 182 x 30 mm
Von/Mit: James Phoenix (u. a.)
Erscheinungsdatum: 30.06.2024
Gewicht: 0,725 kg
Artikel-ID: 128237413
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