9798258893475 - prompt engineering pocket guide: techniques for getting the most from llms (pocket guides for developers) de anhaia, gabriel (6 resultados)
Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 25,14
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 23,98
Envío por EUR 4,87Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Editorial: Independently Published Apr 2026, 2026
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 27,00
Envío por EUR 61,40Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Write prompts that get results - not hallucinations. Most developers treat prompting as trial and error. Copy a template, tweak the wording, hope for the best. This book replaces guesswork with engineering. Whether you use ChatGPT, Claude, Gemini, or open-source models, the techniques behin…d reliable prompts are the same. Prompt Engineering Pocket Guide gives you repeatable patterns you can apply to any LLM. Inside you will learn: - System Prompts - Set the rules of the game. Control tone, format, and behavior before the user says a word.- Few-Shot Prompting - Teach by example. Show the model what good output looks like and watch quality jump.- Chain-of-Thought - Make the model reason step by step instead of guessing the final answer.- Structured Output - Get JSON, YAML, or any format you need - reliably, every time.- Prompt Chaining - Break complex tasks into stages where each prompt builds on the last.- Temperature & Sampling - Understand what the knobs actually do and when to turn them.- Prompt Optimization - Iterate systematically with evaluation metrics, not vibes.- Common Pitfalls - Recognize and fix the patterns that cause hallucinations, refusals, and drift. Every technique comes with clear Python code examples you can adapt to your stack. No filler, no hype - just the prompting patterns that separate unreliable demos from production-grade LLM applications. Who this book is for: Software engineers, data scientists, and anyone building on top of LLMs who wants to stop guessing and start engineering their prompts. Other books in Pocket Guides for Developers (standalone, no reading order): - System Design Pocket Guide: Fundamentals- System Design Pocket Guide: Interviews- AI Agents Pocket Guide- This book - Prompt Engineering Pocket Guide- Database Playbook- LLM Observability Pocket Guide- Event-Driven Architecture Pocket Guide- RAG Pocket Guide.
Idioma: Inglés
Editorial: Independently published, 2026
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 21,43
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 23,73
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Write prompts that get results - not hallucinations. Most developers treat prompting as trial and error. Copy a template, tweak the wording, hope for the best. This book replaces guesswork with engineering. Whether you use ChatGPT, Claude, Gemini, or open-source models, the techniques behind… reliable prompts are the same. Prompt Engineering Pocket Guide gives you repeatable patterns you can apply to any LLM. Inside you will learn: - System Prompts - Set the rules of the game. Control tone, format, and behavior before the user says a word.- Few-Shot Prompting - Teach by example. Show the model what good output looks like and watch quality jump.- Chain-of-Thought - Make the model reason step by step instead of guessing the final answer.- Structured Output - Get JSON, YAML, or any format you need - reliably, every time.- Prompt Chaining - Break complex tasks into stages where each prompt builds on the last.- Temperature & Sampling - Understand what the knobs actually do and when to turn them.- Prompt Optimization - Iterate systematically with evaluation metrics, not vibes.- Common Pitfalls - Recognize and fix the patterns that cause hallucinations, refusals, and drift. Every technique comes with clear Python code examples you can adapt to your stack. No filler, no hype - just the prompting patterns that separate unreliable demos from production-grade LLM applications. Who this book is for: Software engineers, data scientists, and anyone building on top of LLMs who wants to stop guessing and start engineering their prompts. Other books in Pocket Guides for Developers (standalone, no reading order): - System Design Pocket Guide: Fundamentals- System Design Pocket Guide: Interviews- AI Agents Pocket Guide- This book - Prompt Engineering Pocket Guide- Database Playbook- LLM Observability Pocket Guide- Event-Driven Architecture Pocket Guide- RAG Pocket Guide This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Independently Published, 2026
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 27,70
Envío por EUR 43,28Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Write prompts that get results - not hallucinations. Most developers treat prompting as trial and error. Copy a template, tweak the wording, hope for the best. This book replaces guesswork with engineering. Whether you use ChatGPT, Claude, Gemini, or open-source models, the techniques behind… reliable prompts are the same. Prompt Engineering Pocket Guide gives you repeatable patterns you can apply to any LLM. Inside you will learn: - System Prompts - Set the rules of the game. Control tone, format, and behavior before the user says a word.- Few-Shot Prompting - Teach by example. Show the model what good output looks like and watch quality jump.- Chain-of-Thought - Make the model reason step by step instead of guessing the final answer.- Structured Output - Get JSON, YAML, or any format you need - reliably, every time.- Prompt Chaining - Break complex tasks into stages where each prompt builds on the last.- Temperature & Sampling - Understand what the knobs actually do and when to turn them.- Prompt Optimization - Iterate systematically with evaluation metrics, not vibes.- Common Pitfalls - Recognize and fix the patterns that cause hallucinations, refusals, and drift. Every technique comes with clear Python code examples you can adapt to your stack. No filler, no hype - just the prompting patterns that separate unreliable demos from production-grade LLM applications. Who this book is for: Software engineers, data scientists, and anyone building on top of LLMs who wants to stop guessing and start engineering their prompts. Other books in Pocket Guides for Developers (standalone, no reading order): - System Design Pocket Guide: Fundamentals- System Design Pocket Guide: Interviews- AI Agents Pocket Guide- This book - Prompt Engineering Pocket Guide- Database Playbook- LLM Observability Pocket Guide- Event-Driven Architecture Pocket Guide- RAG Pocket Guide This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
