Dr maxwell brooks (13 Ergebnisse)
- Softcover
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Paperback. Zustand: new. Paperback. Are you tired of building chatbots that hallucinate, can't connect to external tools, or don't scale in real workflows? MCP AI Agents, 2nd Edition is the hands-on, code-first guide you've been looking for. Now fully updated for 2025, it teaches AI developers how to build Claude AI agents and O…penAI-driven assistants that truly understand context and act on real-world data. You'll learn to harness the open Model Context Protocol (MCP) - a JSON-RPC 2.0 integration layer - to give your agents tools, memory, and connectivity beyond basic chat. This second edition delivers production-grade AI infrastructure, step-by-step projects, and cutting-edge techniques to create robust context-aware AI systems from scratch.What You'll LearnMCP Fundamentals & JSON-RPC 2.0: Master the Model Context Protocol (MCP) and why it's a game-changer for tool-enhanced AI (over 1,000 community-built MCP connectors for Slack, GitHub, databases, etc. exist as of 2025). Learn how to build MCP JSON-RPC servers and securely expose files, APIs, databases, and more to your agents.Claude API Integration & OpenAI Tools: Step-by-step guidance to integrate Claude's API and OpenAI's latest function-calling capabilities into your agents. Work through examples of Claude API integration and GPT-4 tool use, so your AI can search documents, call web services, and execute code seamlessly.Agent Frameworks with Claude/OpenAI: Explore leading agent orchestration frameworks and techniques. You'll connect agent frameworks with Claude/OpenAI models using LangChain and open-source adapters, and compare approaches like OpenAI's functions vs Anthropic's Claude for building flexible agents.Multi-Step Workflows and Tools: Design tool-enhanced workflows that chain LLM reasoning with multi-step tool usage. Build agents that read PDFs, query SQL databases, scrape the web, and summarize content with citations - then output results to reports or emails. Each project is broken down into clear, step-by-step tasks for easy follow-along.LangGraph and CrewAI Orchestration: Orchestrate complex tasks with multi-agent systems. Learn to coordinate LangGraph agents (DAG-based flows) and CrewAI role-based teams, leveraging MCP to share context and tools. The book demonstrates how frameworks like LangGraph and CrewAI can be supercharged with MCP for scalable, collaborative agents.Deployment & Infrastructure: Get practical advice on deploying production-grade AI infrastructure. Containerize your agents with Docker and integrate into CI/CD pipelines. Deploy on cloud platforms (Railway, Render, AWS) with authentication and monitoring, ensuring your AI agents are secure and ready for real-world agent deployments.New in the 2nd EditionLatest APIs & Models: Updated examples featuring Claude's newest capabilities and OpenAI's evolving API (GPT-4/GPT-3.5 Turbo updates, function calling, etc.), so you're working with state-of-the-art tools.n8n Workflow Integration: A brand-new chapter on using n8n (no-code automation) as an MCP host - learn to plug your AI agents into enterprise workflows and automation pipelines with ease.Expanded Multi-Agent Coverage: In-depth guidance on building distributed agent systems, with new content on LangGraph orchestration and CrewAI enhancements. Discover how the 2nd edition future-proofs your skills for the era of collaborative, context-sharing AI agents.More Real-World Projects: Additional hands-on projects and case studies, including new examples of agents in business intelligence, DevOps assistance, and personal productivity Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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Zustand: New. In.
- Softcover
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Zustand: New. In.
- Softcover
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Zustand: New. In.
- Softcover
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EUR 27,14
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Paperback. Zustand: new. Paperback. Are you tired of building chatbots that hallucinate, can't connect to external tools, or don't scale in real workflows? MCP AI Agents, 2nd Edition is the hands-on, code-first guide you've been looking for. Now fully updated for 2025, it teaches AI developers how to build Claude AI agents and O…penAI-driven assistants that truly understand context and act on real-world data. You'll learn to harness the open Model Context Protocol (MCP) - a JSON-RPC 2.0 integration layer - to give your agents tools, memory, and connectivity beyond basic chat. This second edition delivers production-grade AI infrastructure, step-by-step projects, and cutting-edge techniques to create robust context-aware AI systems from scratch.What You'll LearnMCP Fundamentals & JSON-RPC 2.0: Master the Model Context Protocol (MCP) and why it's a game-changer for tool-enhanced AI (over 1,000 community-built MCP connectors for Slack, GitHub, databases, etc. exist as of 2025). Learn how to build MCP JSON-RPC servers and securely expose files, APIs, databases, and more to your agents.Claude API Integration & OpenAI Tools: Step-by-step guidance to integrate Claude's API and OpenAI's latest function-calling capabilities into your agents. Work through examples of Claude API integration and GPT-4 tool use, so your AI can search documents, call web services, and execute code seamlessly.Agent Frameworks with Claude/OpenAI: Explore leading agent orchestration frameworks and techniques. You'll connect agent frameworks with Claude/OpenAI models using LangChain and open-source adapters, and compare approaches like OpenAI's functions vs Anthropic's Claude for building flexible agents.Multi-Step Workflows and Tools: Design tool-enhanced workflows that chain LLM reasoning with multi-step tool usage. Build agents that read PDFs, query SQL databases, scrape the web, and summarize content with citations - then output results to reports or emails. Each project is broken down into clear, step-by-step tasks for easy follow-along.LangGraph and CrewAI Orchestration: Orchestrate complex tasks with multi-agent systems. Learn to coordinate LangGraph agents (DAG-based flows) and CrewAI role-based teams, leveraging MCP to share context and tools. The book demonstrates how frameworks like LangGraph and CrewAI can be supercharged with MCP for scalable, collaborative agents.Deployment & Infrastructure: Get practical advice on deploying production-grade AI infrastructure. Containerize your agents with Docker and integrate into CI/CD pipelines. Deploy on cloud platforms (Railway, Render, AWS) with authentication and monitoring, ensuring your AI agents are secure and ready for real-world agent deployments.New in the 2nd EditionLatest APIs & Models: Updated examples featuring Claude's newest capabilities and OpenAI's evolving API (GPT-4/GPT-3.5 Turbo updates, function calling, etc.), so you're working with state-of-the-art tools.n8n Workflow Integration: A brand-new chapter on using n8n (no-code automation) as an MCP host - learn to plug your AI agents into enterprise workflows and automation pipelines with ease.Expanded Multi-Agent Coverage: In-depth guidance on building distributed agent systems, with new content on LangGraph orchestration and CrewAI enhancements. Discover how the 2nd edition future-proofs your skills for the era of collaborative, context-sharing AI agents.More Real-World Projects: Additional hands-on projects and case studies, including new examples of agents in business intelligence, DevOps assistance, and personal Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
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Paperback. Zustand: new. Paperback. PyTorch Deep Learning: Build and Deploy Models from CNNs to Multimodal Architectures, LLMs, and Beyond is your ultimate guide to mastering advanced deep learning techniques using PyTorch. Whether you're an experienced practitioner, researcher, or engineer looking to push the boundaries of neur…al network design, this book is packed with comprehensive, hands-on strategies to design, optimize, and deploy production-ready models.Unlock the full potential of deep learning with this all-in-one resource that covers: Advanced PyTorch Fundamentals: Dive deep into PyTorch's core principles, custom autograd functions, efficient data loading, mixed precision training, and GPU optimization techniques. Perfect for those who want to push beyond the basics and build robust, scalable models.State-of-the-Art CNN Architectures: Explore advanced CNN models such as ResNet, EfficientNet, and ConvNeXt, and learn how to transfer learn and fine-tune them for real-world tasks like medical imaging and object detection. Understand model interpretability with Grad-CAM and saliency maps.Sequence Modeling and LSTM Ensembles: Master the art of sequence modeling using LSTMs, GRUs, and attention mechanisms for applications like financial market prediction and real-time chatbots. Learn to build and optimize ensembles for improved forecasting accuracy.Transformer and Attention Mechanisms: Gain a deep understanding of transformer architectures, self-attention, cross-attention, and how to build custom transformers using PyTorch. Discover transformer optimization techniques to enhance performance and scalability.Multimodal Deep Learning: Combine visual and textual data seamlessly by building multimodal models. Learn fusion techniques to integrate medical images with patient records, and create systems for tasks such as visual question answering and sentiment analysis.Generative Models - GANs, VAEs, and Diffusion Models: Develop cutting-edge generative models, including GANs (DCGAN, CycleGAN, StyleGAN), VAEs, and the latest diffusion models for high-fidelity image synthesis. Uncover advanced techniques for image generation and creative AI applications.Deployment and Production-Ready Strategies: Transition from research to production with robust deployment strategies. Learn how to serialize and optimize models with TorchScript and ONNX, containerize applications with Docker, deploy using Kubernetes, and integrate with cloud services (AWS SageMaker, GCP Vertex AI, Azure ML). Explore real-world deployment projects, including enterprise-level chatbots and real-time object detection systems.Ethical AI, Interpretability, and Fairness: Navigate the ethical challenges of AI deployment. Gain insights into model interpretability using Grad-CAM, Integrated Gradients, LIME, and SHAP, and learn strategies to detect and mitigate bias in language models and deep learning systems.Key Features: Hands-on, Code-Centric Approach: Step-by-step examples and projects, including healthcare multimodal classifiers, enterprise chatbots, and real-time search engines.Advanced Optimization Techniques: Hyperparameter optimization with Optuna, AutoML, Neural Architecture Search (NAS), and learning rate schedulers (Cosine Annealing, Cyclical LR).Scalable Deployment Strategies: Learn to deploy models at scale using TorchServe, FastAPI, CI/CD pipelines, and cloud infrastructure.Ethical and Regulatory Insights: Understand the importance of fairness, transparency, and accountability in AI systems and learn to implement ethical practices in model deployment.Master the art of deep learning with PyTorch and transform your research and projects into cutting-edge, produ Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
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EUR 13,82
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Softcover
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Paperback. Zustand: new. Paperback. Elevate your AI applications from simple chatbots to fully programmable agents with MCP AI Agents, Revised Edition. This hands-on, code-first guide walks AI developers through every step of building context-aware agents using the open Model Context Protocol (MCP), Anthropic's Claude API, OpenA…I's function-calling, and leading orchestration frameworks like LangGraph and CrewAI. Inside, you'll discover how to: - Master MCP & JSON-RPC to expose your services-file readers, web scrapers, SQL queryors-as self-describing tools that any LLM can invoke.- Integrate Claude & GPT-4 seamlessly, combining Claude's deterministic tool routing with GPT-4's creative reasoning for best-of-both-worlds agents.- Build RAG pipelines with vector search (FAISS, Chroma, Weaviate) and dynamic prompt chaining to deliver up-to-date, citation-backed knowledge.- Orchestrate multi-agent workflows using LangGraph state machines and CrewAI role-based teams, ensuring resilience, retries, and resumable sessions.- Deploy production-ready infrastructure-containerize with Docker, automate CI/CD with GitHub Actions, and host on Fly.io, Railway, or Render with secure API keys, audit logs, and GDPR-compliant data flows. Featuring real-world projects-from a Claude-powered research assistant to a GPT-driven business report generator-this revised edition adds n8n no-code integration, expanded multi-model orchestration patterns, and advanced evaluation metrics for accuracy, validity, and user satisfaction. Every chapter includes complete manifests, FastAPI handlers, and command-line examples, all available in the companion GitHub repo for immediate cloning and experimentation. If you're an AI engineer, ML architect, or developer ready to ship tool-enhanced, context-aware agents that act on real data-and not just talk-MCP AI Agents, Revised Edition is your definitive, bestselling blueprint. Take your agentic systems beyond chat into real-world automation today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
- Print-on-Demand
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EUR 27,75
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Paperback. Zustand: new. Paperback. Elevate your AI applications from simple chatbots to fully programmable agents with MCP AI Agents, Revised Edition. This hands-on, code-first guide walks AI developers through every step of building context-aware agents using the open Model Context Protocol (MCP), Anthropic's Claude API, OpenA…I's function-calling, and leading orchestration frameworks like LangGraph and CrewAI. Inside, you'll discover how to: - Master MCP & JSON-RPC to expose your services-file readers, web scrapers, SQL queryors-as self-describing tools that any LLM can invoke.- Integrate Claude & GPT-4 seamlessly, combining Claude's deterministic tool routing with GPT-4's creative reasoning for best-of-both-worlds agents.- Build RAG pipelines with vector search (FAISS, Chroma, Weaviate) and dynamic prompt chaining to deliver up-to-date, citation-backed knowledge.- Orchestrate multi-agent workflows using LangGraph state machines and CrewAI role-based teams, ensuring resilience, retries, and resumable sessions.- Deploy production-ready infrastructure-containerize with Docker, automate CI/CD with GitHub Actions, and host on Fly.io, Railway, or Render with secure API keys, audit logs, and GDPR-compliant data flows. Featuring real-world projects-from a Claude-powered research assistant to a GPT-driven business report generator-this revised edition adds n8n no-code integration, expanded multi-model orchestration patterns, and advanced evaluation metrics for accuracy, validity, and user satisfaction. Every chapter includes complete manifests, FastAPI handlers, and command-line examples, all available in the companion GitHub repo for immediate cloning and experimentation. If you're an AI engineer, ML architect, or developer ready to ship tool-enhanced, context-aware agents that act on real data-and not just talk-MCP AI Agents, Revised Edition is your definitive, bestselling blueprint. Take your agentic systems beyond chat into real-world automation 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.
- Softcover
- Print-on-Demand
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EUR 29,55
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Paperback. Zustand: new. Paperback. "Zig Programming: Hands-On Projects for Modern Systems Development" is a comprehensive, project-driven guide that introduces you to the revolutionary Zig programming language-a tool designed for developers who demand explicit control, robust performance, and modern design in systems programmin…g. This book takes you on a hands-on journey from the fundamentals of Zig syntax and data types to advanced topics like concurrency, cross-compilation, and custom memory management.Through a series of practical projects, you'll learn how to build real-world applications, including a command-line tool, a lightweight web server, and a custom memory manager. Each project is designed to reinforce core concepts such as explicit error handling, manual memory management, asynchronous programming, and modular design, ensuring you develop the skills necessary to tackle complex systems challenges.Whether you're developing for embedded systems, high-performance servers, or cross-platform applications, this book provides detailed, step-by-step instructions and clear explanations that make even the most advanced topics accessible. Rich with code examples, testing strategies, and performance optimization techniques, "Zig Programming: Hands-On Projects for Modern Systems Development" is the definitive resource for anyone looking to master the art of systems programming with Zig. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
