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Mastering Prompt Engineering: LLM Prompt Engineering for ChatGPT, Claude, Gemini, & GPT-4: Boost Your Content, Code, and Business Automation
Master Prompt Engineering from the ground up. Whether you’re a developer, content creator, business leader, or educator, Mastering Prompt Engineering gives you the proven tools and strategies used by professionals to design high‑impact interactions with today’s AI models.
Inside, you’ll
How large language models like ChatGPT, Claude, Gemini, and GPT‑4 work—and what really matters when prompting them.
Design Dozens of prompt templates and patterns (zero‑shot, few‑shot, Chain‑of‑Thought, ReAct, Scratchpad, etc.) that work across tasks and domains.
Real‑World Use Prompting strategies for productivity, coding, automation, research, learning, marketing—shown with examples.
Technical Separate sections on token budgets, context windows, temperature control, retrieval‑augmented generation (RAG), LangChain, LlamaIndex, fine‑tuning, and deployment.
Evaluation & Metrics, manual reviews, automated testing, A/B experiments, and prompt iteration workflows that elevate accuracy and consistency.
Visionary A look ahead at neural interfaces, agentic prompting, compressed prompts, and the evolving role of prompt engineers across sectors.
This book is neutral, thoroughly researched, and free of fluff. Every chapter is action‑oriented, practical, and grounded in real AI development workflows. If you’re ready to level up your ability to engineer effective, safe, and scalable AI prompts, this book will take you from beginner to confident expert.
Inside, you’ll
How large language models like ChatGPT, Claude, Gemini, and GPT‑4 work—and what really matters when prompting them.
Design Dozens of prompt templates and patterns (zero‑shot, few‑shot, Chain‑of‑Thought, ReAct, Scratchpad, etc.) that work across tasks and domains.
Real‑World Use Prompting strategies for productivity, coding, automation, research, learning, marketing—shown with examples.
Technical Separate sections on token budgets, context windows, temperature control, retrieval‑augmented generation (RAG), LangChain, LlamaIndex, fine‑tuning, and deployment.
Evaluation & Metrics, manual reviews, automated testing, A/B experiments, and prompt iteration workflows that elevate accuracy and consistency.
Visionary A look ahead at neural interfaces, agentic prompting, compressed prompts, and the evolving role of prompt engineers across sectors.
This book is neutral, thoroughly researched, and free of fluff. Every chapter is action‑oriented, practical, and grounded in real AI development workflows. If you’re ready to level up your ability to engineer effective, safe, and scalable AI prompts, this book will take you from beginner to confident expert.
216 pages, Kindle Edition
Published August 3, 2025
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