Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
$79.99
1224 in stock
Refresh Stock LevelInformation
Shipping
We currently offer free shipping on all orders over $100. Standard media mail shipping is $5 plus $1 for each additional book. Electronics are $35 shipping on all items.
Books
We get our books from a national distributor and although we strive to present up to date stock counts, stock constantly fluctuates. We perform a stock check when you add your book to the cart to ensure that it is available for shipping from the distributor. You can also check stock status by clicking the refresh stock link on the product page for the most up to date stock at the distributor. If an item is on backorder, you may place an order and we will update you on the estimated ship date as soon as we can confirm with the distributor.
Return & exchange
If you are not satisfied with your purchase you can return it to us within 14 days for an exchange or refund. More info.
Assistance
Can’t find what you’re looking for? We have access to over 13 million titles, reach out and see if we can help!
Contact us on (575) 322-6867, or email us at business@rabsbooks.com.
| Weight | 1.47 lbs |
|---|---|
| Dimensions | 9.19 × 7 × 0.86 in |
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 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
O’Reilly Media
Reviews
There are no reviews yet.