Prompt Engineering Audiolibro Por Ajit Singh arte de portada

Prompt Engineering

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Prompt Engineering

De: Ajit Singh
Narrado por: Virtual Voice
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 This book, "Prompt Engineering," is conceived as a foundational text for the engineers and innovators of tomorrow. For too long, the art of instructing AI has been treated as a mystical craft, a collection of tricks and tips shared in online forums. Our mission is to elevate it to its rightful place as a formal engineering discipline—one with principles, methodologies, and a structured approach to achieving predictable, reliable, and optimal results from AI models.


Key Features:


1. Foundations First Approach: Begins with an intuitive explanation of LLMs, tokens, and transformers, ensuring students have the necessary context before diving into prompting techniques.
2. Practical, Step-by-Step Examples: Features dozens of clear, concise, and tested examples that students can run themselves to gain immediate, hands-on experience.
3. Advanced Techniques Demystified: Complex strategies like Chain-of-Thought (CoT), ReAct, and Tree-of-Thought (ToT) are broken down into simple, understandable concepts with clear use cases.
4. Dedicated Ethics Chapter: A full chapter is devoted to the critical topics of bias, fairness, misinformation, and security, preparing students to be responsible AI engineers.
5. Real-World Capstone Project: A full-fledged capstone project guides students through building an "AI-Powered Study Assistant," integrating multiple prompting skills into a single, practical application.
6. Focus on System Integration: Goes beyond the prompt playground to teach students how to use APIs, manage prompts in code, and think about building robust applications.
7. Clear and Accessible Language: Written in a direct, student-friendly style that minimizes jargon and prioritizes clarity, making complex topics approachable for all engineering students.


"Prompt Engineering" is a comprehensive, hands-on guide designed to equip B.Tech and M.Tech students with the essential skills to master the art and science of communicating with Large Language Models (LLMs). This textbook transforms prompt engineering from a set of informal tricks into a structured engineering discipline, providing a clear pathway from fundamental principles to advanced, real-world applications.
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