Isbn: 9798258523204 - the prompt engineering blueprint: systemic patterns for production-ready llms (5 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Stop "talking" to AI and start engineering it.The transition from experimental chatbots to production-grade AI systems is the most significant challenge facing modern software engineers. Most developers rely on "vibe-based" prompting-a trial-and-error approach that leads to unpredictable outputs, high costs, and systemic fragility. To build software that scales, you need more than a clever sentence; you need a blueprint.The Prompt Engineering Blueprint is the definitive, code-first guide to mastering the architecture of Large Language Models. Written for senior developers, AI engineers, and tech architects, this book moves past the basics of prompt "hacks" to provide a rigorous, systemic framework for building reliable, deterministic AI components.What You Will Master: The Physics of LLMs: Deconstruct tokenization, attention mechanisms, and the probabilistic levers (Temperature, Top-P) that dictate model behavior.Structural Design Patterns: Implement the Tripartite Architecture to isolate system personas, contextual grounding, and operational directives.Cognitive Architectures: Build advanced reasoning loops using Chain-of-Thought (CoT), Reflection, and Tree of Thoughts patterns.Technical Precision: Bridge the gap between stochastic AI and rigid backend systems with Pydantic schemas, JSON enforcement, and Function Calling.RAG at Scale: Design Retrieval-Augmented Generation pipelines that manage long-term memory and solve the "Lost in the Middle" problem.Agentic Workflows: Orchestrate autonomous agents capable of using tools, browsing the web, and executing multi-step tasks.Defensive Engineering: Harden your blueprints against prompt injection, data leakage, and adversarial attacks.The Production Lifecycle: Implement PromptOps to version, evaluate, and monitor your AI systems in real-world environments.Why This Book?While the AI landscape shifts weekly, the underlying principles of context management, structured logic, and rigorous evaluation remain constant. MOMENT TECH provides a vendor-agnostic approach that is applicable whether you are building with OpenAI's GPT-4o, Google's Gemini, Anthropic's Claude, or open-source models like Llama 3.Complete with full Python implementations, architectural diagrams, and production-ready "Eval" suites, this book provides the tools you need to turn unpredictable AI into a stable pillar of your enterprise tech stack.Build the next layer of reality, one token at a time. Grab your copy of The Prompt Engineering Blueprint today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Stop "talking" to AI and start engineering it.The transition from experimental chatbots to production-grade AI systems is the most significant challenge facing modern software engineers. Most developers rely on "vibe-based" prompting-a trial-and-error approach that leads to unpredictable outputs, high costs, and systemic fragility. To build software that scales, you need more than a clever sentence; you need a blueprint.The Prompt Engineering Blueprint is the definitive, code-first guide to mastering the architecture of Large Language Models. Written for senior developers, AI engineers, and tech architects, this book moves past the basics of prompt "hacks" to provide a rigorous, systemic framework for building reliable, deterministic AI components.What You Will Master: The Physics of LLMs: Deconstruct tokenization, attention mechanisms, and the probabilistic levers (Temperature, Top-P) that dictate model behavior.Structural Design Patterns: Implement the Tripartite Architecture to isolate system personas, contextual grounding, and operational directives.Cognitive Architectures: Build advanced reasoning loops using Chain-of-Thought (CoT), Reflection, and Tree of Thoughts patterns.Technical Precision: Bridge the gap between stochastic AI and rigid backend systems with Pydantic schemas, JSON enforcement, and Function Calling.RAG at Scale: Design Retrieval-Augmented Generation pipelines that manage long-term memory and solve the "Lost in the Middle" problem.Agentic Workflows: Orchestrate autonomous agents capable of using tools, browsing the web, and executing multi-step tasks.Defensive Engineering: Harden your blueprints against prompt injection, data leakage, and adversarial attacks.The Production Lifecycle: Implement PromptOps to version, evaluate, and monitor your AI systems in real-world environments.Why This Book?While the AI landscape shifts weekly, the underlying principles of context management, structured logic, and rigorous evaluation remain constant. MOMENT TECH provides a vendor-agnostic approach that is applicable whether you are building with OpenAI's GPT-4o, Google's Gemini, Anthropic's Claude, or open-source models like Llama 3.Complete with full Python implementations, architectural diagrams, and production-ready "Eval" suites, this book provides the tools you need to turn unpredictable AI into a stable pillar of your enterprise tech stack.Build the next layer of reality, one token at a time. Grab your copy of The Prompt Engineering Blueprint today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…