Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs. James Phoenix, Mike Taylor

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

Prompt-Engineering-for.pdf
ISBN: 9781098153434 | 422 pages | 11 Mb

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
James Phoenix, Mike Taylor
Page: 422
Format: pdf, ePub, fb2, mobi
ISBN: 9781098153434
Publisher: O'Reilly Media, Incorporated

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

Free textbooks downloads pdf Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

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

Prompt Engineering: From Words to Art and Copy
Dec 21, 2023 —
Future-Proof Inputs for Reliable AI Outputs (Paperback)
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
Prompt Engineering for Generative AI
Jun 5, 2024 —
Future-Proof Inputs for Reliable AI Outputs
Acheter le livre Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs par james phoenix,mike taylor à Indigo.
Prompt Engineering for Generative AI: Future-Proof Inputs
When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated
Future-Proof Inputs for Reliable AI Outputs
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs. [ Paperback ] 바인딩 & 에디션 안내이동. Phoenix, James / Taylor, Mike | O
The Ultimate Prompt Engineering Guide for Generative AI
May 11, 2024 —
Creating & Optimizing Interactions with Generative AI
May 30, 2024 —

Other ebooks:
{epub download} Between Nothing And Nowhere - The Landrys, #2
[Pdf/ePub] J'apprends à lire avec Sami et Julie - Méthode syllabique dès 5 ans by Geneviève Flahault-Lamorère, Adeline Cecconello download ebook
WITH FIRE & SWORD TRILOGY (edición en inglés) leer epub gratis
[Pdf/ePub] Mes amours éponymes by Tiphaine Bleuvenn download ebook
Read online: SSIAP 1 Réussir l'examen
Descargar ebook CONTOS SOTURNOS (edición en portugués) | Descarga Libros Gratis (PDF - EPUB)
DOWNLOADS La Communion est un Trésor
{pdf download} Teething and Other Tales From the American Dystopia by Stephen Nothum