Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs by James Phoenix, Mike Taylor
Download Book ➡ Link
Read Book Online ➡ Link
- Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
- James Phoenix, Mike Taylor
- Page: 422
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781098153434
- Publisher: O'Reilly Media, Incorporated
Download books free pdf format Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs RTF PDF (English Edition)
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 for Generative AI: Future-
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs』(JamesPhoenix) のみんなのレビュー・感想ページです。
Tell Me Your Prompts and I Will Make Them True
by A Bozkurt · 2024 · Cited by 1 —
Prompt Engineering: A Blueprint for AI Excellence
generation, is crucial to obtaining accurate what the function should do, its inputs, or its expected outputs. This is a common issue in generative AI
Prompt Engineering for Generative AI (häftad)
Future-Proof Inputs for Reliable AI Outputs Skickas från oss inom 5-8 vardagar. Fri frakt över 249 kr för privatkunder i Sverige.
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 - Intelligence artificielle
Prompt Engineering for Generative AI. Prompt Engineering for Generative AI. Future-Proof Inputs for Reliable AI Outputs. James Phoenix, Mike Taylor. Livre
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 (Paperback)
Buy Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs (Paperback) at Walmart.com.
What is prompt engineering
Financial Services Future-proof Why is prompt engineering important in generative AI? This supports more relevant and accurate AI outputs, highly
The Ultimate Prompt Engineering Guide for Generative AI
May 11, 2024 —
Chapter 1. The Five Principles of Prompting
prompts that reliably yield useful or desired results. A prompt is the input you provide, typically … - Selection from Prompt Engineering for Generative AI [
Prompt Engineering for Generative AI: Future-Proof Inputs
Item Number. 364917953248 ; Book Title. Prompt Engineering for Generative AI: Future-Proof Inputs for Rel ; Publication Date. 2024-06-25 ; Accurate description.
Comments