{"product_id":"prompt-engineering-pocket-guide-techniques-for-getting-the-most-from-llms-9798258893475","title":"Prompt Engineering Pocket Guide: Techniques for Getting the Most from LLMs","description":"\u003cp\u003e • Author(s): Gabriel Anhaia\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWrite prompts that get results - not hallucinations.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eMost developers treat prompting as trial and error. Copy a template, tweak the wording, hope for the best. This book replaces guesswork with \u003ci\u003eengineering\u003c\/i\u003e. Whether you use ChatGPT, Claude, Gemini, or open-source models, the techniques behind reliable prompts are the same. \u003cb\u003ePrompt Engineering Pocket Guide\u003c\/b\u003e gives you repeatable patterns you can apply to any LLM. \u003cp\u003e\u003c\/p\u003eInside you will learn: \u003cp\u003e\u003c\/p\u003e- \u003cb\u003eSystem Prompts\u003c\/b\u003e - Set the rules of the game. Control tone, format, and behavior before the user says a word.\u003cbr\u003e- \u003cb\u003eFew-Shot Prompting\u003c\/b\u003e - Teach by example. Show the model what good output looks like and watch quality jump.\u003cbr\u003e- \u003cb\u003eChain-of-Thought\u003c\/b\u003e - Make the model reason step by step instead of guessing the final answer.\u003cbr\u003e- \u003cb\u003eStructured Output\u003c\/b\u003e - Get JSON, YAML, or any format you need - reliably, every time.\u003cbr\u003e- \u003cb\u003ePrompt Chaining\u003c\/b\u003e - Break complex tasks into stages where each prompt builds on the last.\u003cbr\u003e- \u003cb\u003eTemperature \u0026amp; Sampling\u003c\/b\u003e - Understand what the knobs actually do and when to turn them.\u003cbr\u003e- \u003cb\u003ePrompt Optimization\u003c\/b\u003e - Iterate systematically with evaluation metrics, not vibes.\u003cbr\u003e- \u003cb\u003eCommon Pitfalls\u003c\/b\u003e - Recognize and fix the patterns that cause hallucinations, refusals, and drift. \u003cp\u003e\u003c\/p\u003eEvery technique comes with \u003cb\u003eclear Python code examples\u003c\/b\u003e you can adapt to your stack. No filler, no hype - just the prompting patterns that separate unreliable demos from production-grade LLM applications. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWho this book is for: \u003c\/b\u003e Software engineers, data scientists, and anyone building on top of LLMs who wants to stop guessing and start engineering their prompts. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eOther books in Pocket Guides for Developers\u003c\/b\u003e (standalone, no reading order): \u003cbr\u003e- \u003ci\u003eSystem Design Pocket Guide: Fundamentals\u003c\/i\u003e\u003cbr\u003e- \u003ci\u003eSystem Design Pocket Guide: Interviews\u003c\/i\u003e\u003cbr\u003e- \u003ci\u003eAI Agents Pocket Guide\u003c\/i\u003e\u003cbr\u003e- \u003cb\u003eThis book\u003c\/b\u003e - \u003ci\u003ePrompt Engineering Pocket Guide\u003c\/i\u003e\u003cbr\u003e- \u003ci\u003eDatabase Playbook\u003c\/i\u003e\u003cbr\u003e- \u003ci\u003eLLM Observability Pocket Guide\u003c\/i\u003e\u003cbr\u003e- \u003ci\u003eEvent-Driven Architecture Pocket Guide\u003c\/i\u003e\u003cbr\u003e- \u003ci\u003eRAG Pocket Guide\u003c\/i\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47883392352407,"sku":"9798258893475","price":1832.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798258893475.webp?v=1781101593","url":"https:\/\/atlanticbooks.com\/products\/prompt-engineering-pocket-guide-techniques-for-getting-the-most-from-llms-9798258893475","provider":"Atlantic Books","version":"1.0","type":"link"}