RAG programming (13 risultati)

Paperback. Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. Unlock the Secrets of AI-Powered Text Intelligence - No PhD Required!Are you curious about how machines understand language, retrieve answers like magic, or generate human-like text? Vector Embeddings for Beginners is your step-by-step guide to mastering one of the most powerful techniques behind modern Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) systems.In simple, beginner-friendly language, this book breaks down the complex world of vector embeddings - the hidden layer of AI that turns words into meaning, context into numbers, and text into action. Whether you're a developer, data analyst, researcher, or just AI-curious, you'll learn how to use embeddings to power smarter searches, personalized recommendations, chatbots, and more.Inside, you'll discover: What vector embeddings are - and why they're essential to modern AIHow large language models (LLMs) use embeddings to "understand" textPractical RAG pipelines that combine search and generation for accurate responsesReal-world projects in Python using tools like Hugging Face, OpenAI, and FAISSHow to fine-tune and optimize embedding-based systems for your own use casesNo heavy math. No confusing jargon. Just clear explanations, hands-on code samples, and powerful tools to help you go from zero to confidently building with embeddings and RAG.Whether you're building intelligent apps, automating workflows, or exploring the future of NLP, this book gives you the foundation and confidence to start strong.Step into the future of AI-powered understanding - one vector at a time. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. Unlock the Secrets of AI-Powered Text Intelligence - No PhD Required!Are you curious about how machines understand language, retrieve answers like magic, or generate human-like text? Vector Embeddings for Beginners is your step-by-step guide to mastering one of the most powerful techniques behind modern Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) systems.In simple, beginner-friendly language, this book breaks down the complex world of vector embeddings - the hidden layer of AI that turns words into meaning, context into numbers, and text into action. Whether you're a developer, data analyst, researcher, or just AI-curious, you'll learn how to use embeddings to power smarter searches, personalized recommendations, chatbots, and more.Inside, you'll discover: What vector embeddings are - and why they're essential to modern AIHow large language models (LLMs) use embeddings to "understand" textPractical RAG pipelines that combine search and generation for accurate responsesReal-world projects in Python using tools like Hugging Face, OpenAI, and FAISSHow to fine-tune and optimize embedding-based systems for your own use casesNo heavy math. No confusing jargon. Just clear explanations, hands-on code samples, and powerful tools to help you go from zero to confidently building with embeddings and RAG.Whether you're building intelligent apps, automating workflows, or exploring the future of NLP, this book gives you the foundation and confidence to start strong.Step into the future of AI-powered understanding - one vector at a time. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Unlock the Full Power of Retrieval-Augmented Generation (RAG) - Build Smarter, Faster, and More Accurate AI SystemsIn the ever-evolving landscape of artificial intelligence, the ability to generate accurate, context-aware text is no longer a luxury - it's a necessity. Designing Robust RAG Systems is your practical, no-nonsense companion to mastering Retrieval-Augmented Generation, one of the most transformative advancements in modern NLP.Whether you're an AI developer, ML engineer, data scientist, or tech leader, this guide walks you through how to design, build, and scale RAG architectures that truly deliver. With hands-on strategies, detailed explanations, and code examples that work in real-world environments, this book bridges the gap between theory and implementation.You'll discover how to combine language models with intelligent retrieval systems to generate high-quality, context-rich outputs. Learn how to build scalable RAG pipelines, optimize performance, manage latency, and ensure factual accuracy - all while staying cost-effective and deployment-ready.Inside you'll learn: The fundamentals of RAG and its role in modern AI systemsBest practices for building vector databases and managing embeddingsHow to fine-tune retrievers and generators for domain-specific accuracyReal-world use cases, architectural blueprints, and performance tuning tipsDeployment strategies using cloud, Docker, and serverless infrastructureDesigning Robust RAG Systems isn't just a guide - it's a toolkit for anyone serious about leveraging LLMs in production.If you're ready to move beyond basic AI experiments and start building systems that scale, this is the book for you.Get ready to design RAG pipelines that are fast, reliable, and impactful - the future of AI is in your hands. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Discover the secrets behind today's smartest AI assistants-and learn how to build them yourself. Mastering RAG Programming is your complete guide to Retrieval-Augmented Generation (RAG), the cutting-edge AI technique that combines search with natural language generation to deliver accurate, context-aware answers. This book will help you design, build, and deploy advanced RAG systems that power modern chatbots, virtual assistants, and intelligent search engines. Inside this book, you'll learn: Core Concepts Made Simple: Understand how retrieval and generation work together to create superior AI responses. Architecture and Design: Explore dense retrieval, reranking, vector databases, and generative models with easy-to-follow diagrams. Hands-On Coding: Step-by-step examples using popular libraries like PyTorch, Hugging Face, and LangChain. Production-Ready Techniques: Optimize for speed, accuracy, and scalability while managing cost and complexity. Real-World Applications: Build chatbots, knowledge bases, and semantic search engines that truly understand user needs. Ethical AI and Safety: Learn strategies to reduce bias, control hallucinations, and ensure responsible deployment. Clear, practical, and up-to-date, Mastering RAG Programming is the ideal resource for AI engineers, software developers, data scientists, and anyone who wants to create smarter, more reliable AI systems. Perfect for: AI/ML practitioners looking to level up their skillsDevelopers building next-generation search and chat applicationsResearchers and students exploring state-of-the-art NLPAnyone who wants to understand the technology powering intelligent assistants Bring your AI projects to life. Learn to master RAG 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.