Description: About this Item The item is a book Paperback The Author Name is Mike Taylor The Title is Prompt Engineering for Generative AI : Future-Proof Inputs for Reliable AI Outputs Condition New Other Comments Pages Count - 422. Category - Computers Product Description - 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 We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167444332
Price: 107.93 USD
Location: US
End Time: 2024-11-22T11:58:24.000Z
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Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media
Weight: 0.67
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Title: Prompt Engineering for Generative AI Future-Proof Inputs for Re
Release Title: Prompt Engineering for Generative AI Future-Proof Inputs for Re
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UPC: 9781098153434
EAN: 9781098153434
ISBN: 9781098153434
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Number of Pages: 350 Pages
Publication Name: Prompt Engineering for Generative Ai : Future-Proof Inputs for Reliable Ai Outputs
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2024
Subject: Machine Theory, Natural Language Processing, Neural Networks
Item Height: 0.9 in
Type: Textbook
Item Weight: 25.6 Oz
Subject Area: Computers
Author: James Phoenix, Mike Taylor
Item Length: 9.3 in
Item Width: 7.6 in
Format: Trade Paperback
