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Mclucas Cameron (77 results)
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n8n Automation and LangChain Agent Orchestration
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 25.18
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n8n Automation for AI Agents
Book 1 of 5: The Automation StackSeller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 25.51
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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The AI Alignment Handbook
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Hacking and Security with Cloud Breach Simulations
Book 5 of 5: The AI Developer SeriesSeller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 30.78
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Mastering MCP Clients in Python with FastAPI
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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The AI Alignment Handbook: Human Compatible Artificial Intelligence, Control Problems, and the Future of Safe Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 24.49
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Automate with n8n and Laravel: The Ultimate No-Code Workflow Integration Guide for Modern PHP Developers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Vector Database Deep Dive: Optimize AI Workflows for Speed, Accuracy, and Enterprise Scale
Book 4 of 5: The AI Developer SeriesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 24.68
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Automate with n8n and Laravel: The Ultimate No-Code Workflow Integration Guide for Modern PHP Developers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 26.02
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Vector Database Deep Dive: Optimize AI Workflows for Speed, Accuracy, and Enterprise Scale
Book 4 of 5: The AI Developer SeriesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 26.43
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The AI Alignment Handbook: Human Compatible Artificial Intelligence, Control Problems, and the Future of Safe Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 27.14
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Paperback. Condition: new. Paperback. Building Intelligent Agents with Knowledge Graphs: Boost Agent Reasoning, Reduce Hallucinations, and Achieve Explainable AI Outcomes Building Intelligent Agents with Knowledge Graphs begins with a question every AI builder faces today: How do you create agents that reason reliably, avoid hallucinations, and explain their decisions with confidence? As LLM-powered systems spread across industries, the pressure to deliver accuracy, transparency, and trust has never been greater. This book gives you a practical, industry-ready path forward.At its core, this guide shows you how to combine knowledge graphs with modern AI agents to build systems that understand context, maintain memory, and perform structured reasoning far beyond what statistical models can do alone. You'll learn how to design graph-powered architectures that strengthen agent logic, reduce errors, and support the demands of real-world deployment-whether you're building enterprise copilots, domain-specific assistants, or multi-agent systems that coordinate across teams and tools.Inside, you'll gain the skills to: - Model entities, relationships, and schemas that give agents a reliable foundation for decision-making.- Use knowledge graphs to cut hallucinations, enforce factual consistency, and support transparent reasoning.- Integrate LLMs with graph querying, retrieval strategies, and hybrid vector-graph pipelines.- Build agents that store, update, and reference long-term memory using evolving, temporal knowledge graphs.- Apply graph techniques to biomedical QA, supply chain operations, legal reasoning, customer support workflows, and more.- Design governance, explainability, and trust frameworks essential for enterprise-grade AI.- Implement scalable graph infrastructures, evaluate reasoning accuracy, optimize latency, and manage cost.- Explore emerging directions such as neuro-symbolic AI, autonomous graph evolution, and multi-modal agent architectures.Each chapter translates complex concepts into clear, actionable steps supported by real code, grounded examples, and proven design patterns. Whether you're a software engineer, data architect, AI researcher, or technical leader, you'll find strategies you can apply immediately and expand as your systems grow.If you're ready to build AI agents that are not only powerful but consistently correct, transparent in their decisions, and aligned with human expectations, this book will give you the blueprint. Start building AI systems you-and your users-can trust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Paperback. Condition: new. Paperback. System Prompts for LLMs: Build Smarter AI Assistants with Precision, Control, and ConsistencyWhy do some AI assistants feel sharp, trustworthy, and consistent-while others seem unpredictable or vague? The answer isn't always in the model itself but in the instructions that shape it. The hidden foundation of every reliable large language model (LLM) system is its system prompt-the carefully engineered layer that defines what the assistant knows, how it behaves, and how it communicates.This book gives developers, AI engineers, and technical leaders the blueprint for mastering system prompts-the most critical and often overlooked component of effective LLM design. Through hands-on examples, real-world templates, and clear technical explanations, you'll learn how to control model behavior with precision and turn raw intelligence into predictable performance.Readers will learn how to: Design system prompts that establish clear identity, tone, and domain expertise.Enforce structure, tone, and safety through constraints and layered prompt patterns.Integrate system prompts with APIs, tools, and agentic workflows for reliable automation.Build governance workflows-versioning, testing, and logging-to ensure consistency at scale.Recognize and prevent prompt failures, such as leakage, injection, or drift.Create reusable prompt libraries and frameworks adaptable across teams and industries.Each chapter moves beyond theory to teach practical implementation. You'll see how structured templates, runtime context switching, and prompt evaluation frameworks help maintain alignment across changing environments. Whether you're developing customer-facing assistants, research tools, or enterprise-grade AI systems, the principles here will elevate your control and confidence in model behavior.System Prompts for LLMs bridges the gap between prompt design and software engineering discipline-giving you a professional, repeatable process for building AI assistants that are safe, consistent, and production-ready. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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US$ 24.48
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US$ 24.19
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US$ 25.04
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Building Intelligent Agents with Knowledge Graphs
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 20.80
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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US$ 29.94
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US$ 30.75
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