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Prompt Engineering Vol 2
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Publisher: Independently Published
Pages: 190
Weight: 0.58
Height: 0.40 Width: 6.00 Depth: 9.00
Language: English
Prompt Engineering: The Complete Technical Reference - Volume 2
Applications, Operations, Security & Reference
Prompt engineering does not end when a prompt produces a good response. Real-world AI systems must also be evaluated, deployed, monitored, secured, debugged, optimized, and continuously improved.
Prompt Engineering: The Complete Technical Reference - Volume 2 takes the concepts introduced in Volume 1 into production-oriented AI applications and operational practice.
This volume explores how prompt engineering is applied across industries, how prompt quality can be measured systematically, how prompts can be managed through PromptOps, how LLM applications can be protected against security threats, and how common failures across RAG, agents, tools, memory, and generation can be diagnosed.
Inside this volume, you'll explore:
- Business Applications - practical prompting approaches for healthcare, finance, legal, insurance, retail, manufacturing, HR, marketing, education, and customer support
- Prompt Evaluation - benchmarks, LLM-as-a-Judge, human evaluation, A/B testing, quality metrics, cost, latency, and scoring
- PromptOps - prompt lifecycle management, Git, prompt registries, version control, CI/CD, deployment, monitoring, observability, cost optimization, and governance
- Security & Safety - prompt injection, jailbreaks, prompt leakage, data privacy, PII protection, secure system prompts, AI safety, and enterprise security
- Failure Analysis - diagnosing hallucinations, context overflow, reasoning problems, retrieval failures, agent failures, tool failures, memory failures, output instability, and performance bottlenecks
- Model-Specific Prompting - practical considerations for GPT, Claude, Gemini, Llama, Qwen, Mistral, DeepSeek, and open-weight models
- 10 Real-World Projects - including a Customer Support Agent, Research Assistant, Resume Analyzer, AI Interview Coach, Document QA system, Medical Assistant, Financial Analyst, Legal Assistant, Coding Copilot, and AI Tutor
- DSPy & Prompt Programming - moving beyond manual prompt tuning toward signatures, modules, metrics, optimizers, and evaluation-driven prompt optimization
- Reference Library - reusable prompt templates, 100+ design patterns, checklists, role and constraint libraries, output formats, system prompt examples, debugging guidance, evaluation scorecards, glossary, interview questions, and production checklists
Volume 2 shifts the focus from simply writing prompts to operating prompt-driven AI systems.
It connects prompt engineering with evaluation, software engineering practices, security, observability, production reliability, and the emerging idea of prompt programming.
Designed for AI engineers, developers, data scientists, prompt engineers, GenAI practitioners, technical professionals, and students, this volume can be read sequentially or kept as a practical reference while building real-world LLM applications.
Volume 1 teaches you how to design prompts and prompt architectures. Volume 2 shows you how to evaluate, operate, secure, troubleshoot, optimize, and apply them in production-oriented AI systems.
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