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This book approaches Coupled Prompts Engineering as a software engineering discipline, going beyond the simple formulation of instructions for LLMs. The reader will find technical foundations of language models, advanced prompting techniques (Chain-of-Thought, ReAct, Few-Shot), integration architectures in commercial systems, RAG in production, autonomous agents and model orchestration. The book also looks at evaluation, security and governance of AI systems, ending with real-life case studies in customer support, the legal sector, data analysis and process automation. Aimed at developers, software architects and data scientists who want to turn AI experiments into reliable and scalable applications.
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