bernand bernie (47 resultados)

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New.

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

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

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

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

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

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

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

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

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

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

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. In today's data-driven world, traditional AI approaches often struggle with complexity and scale. Knowledge graphs (KGs) and large language models (LLMs) are revolutionizing how we structure, connect, and reason over data. By combining KGs' structured knowledge with LLMs' linguistic prowess, we unlock deep insights, enhanced reasoning, and semantic understanding. From powering healthcare diagnostics to driving breakthroughs in materials science and finance, this synergy is the foundation of next-generation intelligent systems.What's InsideStep-by-step tutorials for building KGs using LLMs, with Python code examples leveraging real-world datasets.Clear explanations of core concepts, including entities, relationships, graph reasoning, and LLM architectures.Practical guides on integrating KGs with LLMs for tasks like question answering, search, and recommendation systems.Comprehensive coverage of tools like Neo4j, LangChain, Hugging Face Transformers, RDF, and SPARQL, with hands-on examples.Case studies from leading industries, showcasing breakthroughs in healthcare diagnostics, material discovery, and financial analysis.Exercises on KG construction, querying, and advanced reasoning to solidify your skills.Insights into future trends, such as autonomous knowledge agents and ethical AI practices.Is this too complex?This book is crafted for all levels, from beginners to experts, with clear explanations and guided exercises to ensure you grasp every concept, no matter your background.No time to learn?Modular chapters let you explore topics at your own pace, making progress manageable and flexible.Why is this essential?In today's AI-driven world, mastering KG-LLM integration is critical for building smarter, future-ready systems that stay ahead in research and industry.Ready to unlock the power of structured intelligence?Get your copy of Knowledge Graphs Meet LLMs: Transforming Data into Smart Insights by Bernand Bernie today and start building AI systems that redefine what's possible. 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. Practical LangChain: Building and Deploying LLM-Powered Applications by Bernand Bernie is your hands-on roadmap for turning the power of large language models into real, production-ready software. Blending conceptual clarity with practical code, this book guides you through every step of architecting, implementing, and deploying robust, scalable AI applications using LangChain.What's InsideFoundations of LangChain: Get up to speed on LangChain's architecture-prompt templates, chains, agents, memories, and connectors. Learn how it sits atop LLMs to provide modular, reusable components.Core Application Patterns: Dive into real-world scenarios like semantic search engines, dynamic question-answering systems, sentiment and topic analysis pipelines, and automated code assistants. Each example comes with fully annotated Python code.Advanced Agent Workflows: Master multi-agent orchestration, from simple decision-trees to hierarchical, role-based systems that can collaborate on complex tasks-think AI research assistants, multi-step data pipelines, and conversational sales bots.Retrieval-Augmented Generation (RAG): Explore strategies for connecting LLMs to document stores, vector databases (FAISS, Pinecone), and SQL backends to ground outputs in real data.API & Service Integrations: See how to seamlessly integrate third-party APIs (e.g., knowledge graphs, translation, weather) and cloud services for dynamic inputs and outputs.Data Analysis & Visualization: Build query-driven dashboards and natural language interfaces over pandas, SQLite, and NoSQL stores-empowering non-technical users to mine insights with simple prompts.Deployment Best Practices: Navigate containerization (Docker), orchestration (Kubernetes), serverless functions, and CI/CD pipelines to ship your AI apps to production with confidence.Key FeaturesEnd-to-End Projects: From a simple chatbot to a production-grade RAG system, follow step-by-step tutorials that you can extend and adapt.Code-First Learning: All examples in Python, with clear explanations of each line, dependencies, and structure.Scalable Architectures: Patterns for horizontal scaling, caching strategies, and cost-effective cloud deployments.Best-of-Breed Tools: Hands-on with FAISS, SQLite, Redis, and popular cloud ML services.What You Will LearnHow to design prompt flows and chain logic for diverse use cases.Techniques for enriching LLM outputs with factual data and domain knowledge.Building collaborative multi-agent ecosystems for complex, multi-step workflows.Strategies for integrating LLMs with external APIs, databases, and live data streams.Deployment pipelines, monitoring, and security considerations for AI services.Who This Book Is ForDevelopers, data scientists, and AI practitioners who have some Python experience and want to harness LangChain to build intelligent, user-centric applications. Ideal for anyone preparing to launch AI-driven products or to deepen their grasp of LLM engineering and MLOps practices. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Ever wondered how to automate complex tasks without writing a single line of code? Building AI Agents in N8N shows you how to create intelligent, no-code automation systems that transform your work. This practical guide empowers anyone-whether a business owner, marketer, or support specialist-to harness N8N's visual platform and build AI agents that streamline processes and deliver results.The book focuses on crafting AI agents using N8N's intuitive workflow editor, integrating tools like Airtable, Gmail, Reddit, and AutoPilot (Ortto) with GPT-4.1 mini. Through detailed examples, real-world case studies, and personal insights from the author's own projects, it provides a clear path to creating systems that handle customer support, social media engagement, marketing campaigns, and more. Each chapter offers actionable steps, from setting up memory management to optimizing workflows for scale, ensuring you can build robust automations tailored to your needs.What sets this book apart?Memory and Context Management: Learn to maintain conversation history for coherent AI interactions, with practical N8N configurations.Integrating External Tools: Master connecting Airtable, Gmail, Reddit, and AutoPilot to create dynamic workflows, with step-by-step guidance.Crafting Effective System Messages: Discover how to guide AI behavior with precise prompts for specific use cases like customer support or marketing.No-Code Workflow Design: Build complex automations using N8N's drag-and-drop editor, no coding required.Advanced Optimizations: Explore error handling, scaling, and node customizations to ensure reliability and efficiency.Real-World Applications: Gain insights from case studies on automating customer support, social media, and marketing, with measurable outcomes like reduced response times and increased engagement.With Building AI Agents in N8N, you'll acquire the skills to create AI-driven solutions that save time and boost productivity. Whether you're automating a small business process or managing a large-scale campaign, this book provides the tools and confidence to succeed. Get your copy today and start building powerful, no-code AI agents that make an impact! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condición: Neu. Neuware - Key Features.

Paperback. Condición: new. Paperback. Understand Zig's powerful integration capabilities by building real-world applications that span native systems, web, and embedded hardware, and learn to leverage C/C++ interoperability, WebAssembly compilation, and bare-metal programming for versatile, high-performance software.Key Features: -Using Zig's explicit error handling and compile-time features for robust, predictable code across platforms.-Integrate seamlessly with existing C/C++ codebases while exploring WebAssembly for browser apps and embedded targets for microcontrollers.-Develop cross-platform projects with Zig's flexible build system, from console tools to firmware and web modules. Description: The world of systems programming often demands a balance between control and convenience, but Zig revolutionizes this with its straightforward syntax, no-runtime-overhead design, and built-in tools for portability. If you've encountered challenges with C's undefined behaviors, Rust's borrow checker, or Go's garbage collection, Zig provides a fresh approach that emphasizes clarity and developer intent.You'll start with Zig's foundational elements, including installation, syntax, and control flow, before advancing to advanced topics like memory management, concurrency, and compile-time generics. The book emphasizes hands-on learning through projects that integrate Zig with C/C++, compile to WebAssembly for browser execution, and target embedded systems for hardware interaction. Along the way, you'll master Zig's unique features, such as explicit allocations, error unions, and cross-compilation, all while building applications that demonstrate its versatility.By the end of this book, you'll be equipped to create a complete cross-platform application, contribute to Zig's ecosystem, and tackle complex problems in systems, web, and embedded programming with confidence.What you will learn: -Set up a Zig development environment and write your first programs with proper structure and workflow.-Master Zig's syntax, types, control flow, and functions for building reliable applications Implement error handling, data structures, and memory allocation techniques tailored to resource-constrained environments.-Integrate Zig with C/C++ libraries and export Zig functions for seamless interoperability.-Compile Zig code to WebAssembly for browser and server-side applications.-Develop bare-metal firmware for microcontrollers like ARM, RISC-V, and AVR.-Utilize Zig's build system for dependency management, testing, and cross-platform deployment. Who this book is for: This book is for developers eager to explore Zig's potential in systems programming, web development, and embedded systems. The target audience includes C/C++ programmers seeking a simpler alternative with better safety, web developers interested in WebAssembly for high-performance apps, embedded engineers building firmware for microcontrollers, Rust or Go users looking for explicit control without complexity, and beginners in low-level programming aiming for a structured guide to Zig's features. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Ready to unlock the full potential of Large Language Models and transformers without wading through dense research papers or wrestling with complex setups? HuggingFace Mastery: Mastering Large Language Models and Transformers with Hugging Face Tools is your practical, hands-on guide to leveraging the Hugging Face ecosystem for real-world AI solutions. This book cuts through the noise, offering clear, actionable strategies to build, fine-tune, and deploy cutting-edge models with ease, whether you're a developer, researcher, or business innovator. This isn't about abstract AI concepts, it's a step-by-step roadmap packed with proven techniques and real-world insights. Here's what you'll learn to do: Harness Hugging Face's Power: Master the Transformers, Datasets, and Inference API to build NLP, computer vision, and multimodal applications, from chatbots to image captioning, using models like BERT, T5, and CLIP.Fine-Tune Efficiently: Use techniques like LoRA and quantization to train and optimize massive models on modest hardware, reducing costs and enabling deployment on consumer-grade GPUs or cloud platforms.Craft Effective Prompts: Design zero-shot and few-shot prompts with advanced strategies like chain-of-thought to unlock LLMs' capabilities for tasks like text generation and question answering, without extensive retraining.Deploy with Confidence: Build scalable, production-ready solutions with FastAPI, Hugging Face Inference Endpoints, or local setups, ensuring low latency and high performance for applications like customer support or medical text analysis.Address Ethical Challenges: Identify and mitigate biases in models with fairness-aware training and dataset curation, ensuring responsible AI that serves diverse users equitably.Contribute to the Community: Share models, datasets, and tutorials on the Hugging Face Hub, engage in discussions, and develop features to shape the future of open-source AI. Whether you're an AI enthusiast building your first chatbot, a startup founder integrating NLP into your product, or a seasoned engineer scaling multimodal applications, this book equips you with reproducible workflows, strategic insights, and a deep understanding of Hugging Face's tools. From automating customer service to enhancing accessibility with image captioning, you'll discover how to solve real-world problems and contribute to a vibrant AI community. Stop searching for scattered tutorials. Start mastering Hugging Face and transform your ideas into impactful, ethical AI solutions today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: New.