Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs - Couverture souple
Synopsis
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.
Learn how to empower AI to work for you. This book explains:
- The structure of the interaction chain of your program's AI model and the fine-grained steps in between
- How AI model requests arise from transforming the application problem into a document completion problem in the model training domain
- The influence of LLM and diffusion model architecture--and how to best interact with it
- How these principles apply in practice in the domains of natural language processing, text and image generation, and code
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos des auteurs
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.
Mike Taylor built and ran a 50-person marketing agency, including working on innovation projects with Unilever, Nestle, and Facebook. Over 300,000 people have taken his marketing courses on LinkedIn Learning.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Prompt Engineering for Generative AI: Future-Proof...
Image d'archives
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
Edité par
O'Reilly Media (edition 1), 2024
ISBN 10 : 109815343X
ISBN 13 : 9781098153434
Ancien ou d'occasion
Paperback
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de réf. du vendeur 109815343X-8-1
Acheter D'occasion
EUR 36,46
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Prompt Engineering for Generative Ai: Future-proof Inputs for Reliable Ai Outputs
Edité par
Oreilly & Associates Inc, 2024
ISBN 10 : 109815343X
ISBN 13 : 9781098153434
Neuf
Couverture souple
Vendeur : Lakeside Books, Benton Harbor, MI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! N° de réf. du vendeur OTF-S-9781098153434
Acheter neuf
EUR 47,91
Expédition à EUR 3,42
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Prompt Engineering for Generative Ai : Future-proof Inputs for Reliable Ai Outputs
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 47190362-n
Acheter neuf
EUR 49,10
Expédition à EUR 2,26
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (Paperback or Softback)
Edité par
O'Reilly Media 6/25/2024, 2024
ISBN 10 : 109815343X
ISBN 13 : 9781098153434
Neuf
Paperback or Softback
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback or Softback. Etat : New. Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs. Book. N° de réf. du vendeur BBS-9781098153434
Acheter neuf
EUR 52,40
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 5 disponible(s)
Image fournie par le vendeur
Prompt Engineering for Generative Ai : Future-proof Inputs for Reliable Ai Outputs
Edité par
O'Reilly Media, 2024
ISBN 10 : 109815343X
ISBN 13 : 9781098153434
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 47190362
Acheter D'occasion
EUR 52,09
Expédition à EUR 2,26
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Prompt Engineering for Generative AI
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. 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.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture-and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and code. N° de réf. du vendeur LU-9781098153434
Acheter neuf
EUR 54,65
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Prompt Engineering for Generative AI
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9781098153434
Acheter neuf
EUR 60,65
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 7 disponible(s)
Image d'archives
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (eng)
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Évaluation du vendeur 4 sur 5 étoiles
Etat : new. N° de réf. du vendeur 74IYA6RG0V
Acheter neuf
EUR 55,22
Expédition à EUR 6,80
Expédition depuis Italie vers Etats-Unis
Expédition depuis Italie vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Prompt Engineering for Generative AI
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9781098153434
Acheter neuf
EUR 55,98
Expédition à EUR 6,74
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 6 disponible(s)
Image fournie par le vendeur
Prompt Engineering for Generative AI
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. 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.Learn how to empower AI to work for you. This book explains:The structure of the interaction chain of your program's AI model and the fine-grained steps in betweenHow AI model requests arise from transforming the application problem into a document completion problem in the model training domainThe influence of LLM and diffusion model architecture-and how to best interact with itHow these principles apply in practice in the domains of natural language processing, text and image generation, and code. N° de réf. du vendeur LU-9781098153434
Acheter neuf
EUR 62,90
Livraison gratuite
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles