This book is a rigorous, workflow-driven manual for mastering modern prompt engineering.
Context Prompt Engineering treats prompts as modular, testable software components and guides readers through the design, orchestration, and evaluation of prompts for large language models (LLMs). It explores context management, reproducibility, and system integration, showing how to build scalable, efficient, and reliable prompt systems for real-world applications.
Through detailed examples and practical methods, you will learn how to design reusable prompt templates, chain prompts for complex workflows, manage context effectively, and evaluate outputs using accuracy, safety, and cost metrics. You will also discover how to integrate your prompts with Retrieval-Augmented Generation (RAG), agent systems, and multi-model pipelines for production environments.
Whether you are an engineer, researcher, or AI product lead, this book provides the tools and frameworks needed to build persuasive, optimized, and reproducible prompt systems that scale efficiently.
Who This Book Is For
Prompt engineers and AI developers building robust prompt stacks for production.
Researchers focused on prompt evaluation and reproducible experiments.
Product teams optimizing token costs, reliability, and output quality.
What You Will Learn
How to design modular, reusable prompt templates and meta-prompts for diverse tasks.
How to implement prompt chaining and orchestration for multi-step workflows.
How to manage context using chunking, compression, and token budgeting techniques.
How to build evaluation frameworks using accuracy, helpfulness, safety, and cost metrics.
How to apply versioning, automated testing, and A/B experimentation to prompts.
How to integrate prompts with RAG systems, AI agents, and hybrid pipelines.
How to optimize performance for scalability and cost efficiency in production.
"Sinopsis" puede pertenecer a otra edición de este libro.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 51500881-n
Cantidad disponible: Más de 20 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. This book is a rigorous, workflow-driven manual for mastering modern prompt engineering. Context Prompt Engineering treats prompts as modular, testable software components and guides readers through the design, orchestration, and evaluation of prompts for large language models (LLMs). It explores context management, reproducibility, and system integration, showing how to build scalable, efficient, and reliable prompt systems for real-world applications. Through detailed examples and practical methods, you will learn how to design reusable prompt templates, chain prompts for complex workflows, manage context effectively, and evaluate outputs using accuracy, safety, and cost metrics. You will also discover how to integrate your prompts with Retrieval-Augmented Generation (RAG), agent systems, and multi-model pipelines for production environments. Whether you are an engineer, researcher, or AI product lead, this book provides the tools and frameworks needed to build persuasive, optimized, and reproducible prompt systems that scale efficiently. Who This Book Is For Prompt engineers and AI developers building robust prompt stacks for production. Researchers focused on prompt evaluation and reproducible experiments. Product teams optimizing token costs, reliability, and output quality. What You Will Learn How to design modular, reusable prompt templates and meta-prompts for diverse tasks. How to implement prompt chaining and orchestration for multi-step workflows. How to manage context using chunking, compression, and token budgeting techniques. How to build evaluation frameworks using accuracy, helpfulness, safety, and cost metrics. How to apply versioning, automated testing, and A/B experimentation to prompts. How to integrate prompts with RAG systems, AI agents, and hybrid pipelines. How to optimize performance for scalability and cost efficiency in production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798271116247
Cantidad disponible: 1 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798271116247
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 51500881
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9798271116247
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9798271116247
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 51500881-n
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 51500881
Cantidad disponible: Más de 20 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. This book is a rigorous, workflow-driven manual for mastering modern prompt engineering. Context Prompt Engineering treats prompts as modular, testable software components and guides readers through the design, orchestration, and evaluation of prompts for large language models (LLMs). It explores context management, reproducibility, and system integration, showing how to build scalable, efficient, and reliable prompt systems for real-world applications. Through detailed examples and practical methods, you will learn how to design reusable prompt templates, chain prompts for complex workflows, manage context effectively, and evaluate outputs using accuracy, safety, and cost metrics. You will also discover how to integrate your prompts with Retrieval-Augmented Generation (RAG), agent systems, and multi-model pipelines for production environments. Whether you are an engineer, researcher, or AI product lead, this book provides the tools and frameworks needed to build persuasive, optimized, and reproducible prompt systems that scale efficiently. Who This Book Is For Prompt engineers and AI developers building robust prompt stacks for production. Researchers focused on prompt evaluation and reproducible experiments. Product teams optimizing token costs, reliability, and output quality. What You Will Learn How to design modular, reusable prompt templates and meta-prompts for diverse tasks. How to implement prompt chaining and orchestration for multi-step workflows. How to manage context using chunking, compression, and token budgeting techniques. How to build evaluation frameworks using accuracy, helpfulness, safety, and cost metrics. How to apply versioning, automated testing, and A/B experimentation to prompts. How to integrate prompts with RAG systems, AI agents, and hybrid pipelines. How to optimize performance for scalability and cost efficiency in production. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798271116247
Cantidad disponible: 1 disponibles