A rigorous, workflow-driven manual that treats prompts as software components-versioned, tested, and optimized. Explores modular prompt libraries, prompt chaining patterns, meta-prompts, context budgeting, token optimization, evaluation metrics, and tooling for automated prompt testing. Emphasizes reproducibility, prompt versioning, and integration with RAG, agents, and production pipelines. Who this book is for Prompt engineers, NLP practitioners, and dev teams building production prompt stacks. Researchers ...
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A rigorous, workflow-driven manual that treats prompts as software components-versioned, tested, and optimized. Explores modular prompt libraries, prompt chaining patterns, meta-prompts, context budgeting, token optimization, evaluation metrics, and tooling for automated prompt testing. Emphasizes reproducibility, prompt versioning, and integration with RAG, agents, and production pipelines. Who this book is for Prompt engineers, NLP practitioners, and dev teams building production prompt stacks. Researchers standardizing prompt evaluation and reproducible experiments. Product teams optimizing token costs and prompt reliability. What the reader will learn How to design modular, reusable prompt templates and meta-prompts. Prompt chaining and orchestration strategies for complex tasks. Context management techniques: chunking, compression, and budget-aware design. Evaluation frameworks: accuracy, helpfulness, safety, and cost metrics. Tooling for prompt versioning, automated testing, and A/B experiments. Integration patterns with RAG, agents, and multi-model workflows.
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