Prompt Engineering for Generative AI Future-Proof Inputs for Reliable AI Outputs | James Phoenix, Mike Taylor | Shroff/O'Reilly

📘 Book Name: Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs 🤖

✍️ Authors: James Phoenix and Mike Taylor

🏢 Publisher: Shroff Publishers / O'Reilly Media

📅 Edition: 2026 Indian Edition ✨

🆔 ISBN: 9789355424655

Prompt Engineering for Generative AI is the definitive manual for moving past casual ChatGPT usage and building robust, production-ready AI applications 🚀. Written by industry experts James Phoenix and Mike Taylor, this book treats prompts as code. It provides developers, data scientists, and product managers with the rigorous frameworks needed to generate reliable, repeatable, and high-quality outputs from Large Language Models (LLMs) like GPT-4, Claude, and Gemini 🧠.

✨ Key Features:

• ✅ The Prompt Architecture: Master the structural components of a perfect prompt, including role assignment, context setting, constraints, and output formatting 💡.

• ✅ Advanced Techniques: Deep dive into high-performance strategies like Few-Shot Learning, Chain-of-Thought (CoT) reasoning, and Tree of Thoughts (ToT) 📊.

• ✅ Evaluation & LLMOps: Learn how to systematically test prompt variations, measure output quality, and prevent hallucinations using automated evaluation frameworks 🛡️.

• ✅ API Integration: Practical guides on managing prompts within codebases, handling API parameters (Temperature, Top-P), and designing multi-prompt workflows 💻.

• ✅ Security & Alignment: Strategies to future-proof your inputs against prompt injection attacks and ensure the model aligns with enterprise safety guidelines 🏆.