Rubin Jesse (10 results)

Soft Cover. Condition: Very Good+++. No Jacket. John Hopkins Paper Edition. Bernard L. Garmire, Jesse Rubin and James Q. Wilson authors. A Supplementary Paper of the Committee for Economic Development. "The Police Role in an Urban Society" by Garmire. "Police Identity and the Police Role" by Rubin. "The Police in the Ghetto" by Wilson. End Notes. Notes on Contributors. Index. 103pp. Pictorial Soft Cover with title on spine and front cover. Soft Cloth.

Hardcover. Condition: Good. Dust Jacket Condition: Good. Edgewear and chipping to dj.

Hardcover. Condition: Very Good. Dust Jacket Condition: Good. Large (26x18cm) hardcover in very good condition, with good dust jacket. 519 pages, dozens of articles in this area. A few dozen pages, certainly less than 100, have been highlighted, and the previous owner noted page numbers inside the front cov er. Book.

Hardcover. Condition: Very Good. Revised and Expanded Edition. Very Good. No Dust Jacket.

Condition: New. In.

Paperback. Condition: Good. Some damage to top of front cover, otherwise very good. Book.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. 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.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 828 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Paperback. Condition: new. Paperback. Search Engines and RAG in AI: Boost Model Accuracy with Next-Gen Retrieval MethodsOverviewUnlock the full potential of AI by integrating advanced retrieval methods with cutting-edge generation capabilities. Search Engines and RAG in AI: Boost Model Accuracy with Next-Gen Retrieval Methods is a comprehensive guide that bridges the gap between traditional search engines and modern AI models. This book equips readers with the knowledge and practical skills needed to design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines, ensuring your AI systems deliver accurate, context-aware responses every time.Packed with step-by-step tutorials, actionable code examples, and real-world applications, this book demystifies the complex concepts of RAG and retrieval-based AI systems. Whether you're exploring Elasticsearch, FAISS, or Haystack, this guide provides you with the tools and strategies to elevate your AI models to new levels of performance. This book dives deep into the world of Retrieval-Augmented Generation, explaining how search engines and retrieval methods enhance AI systems' accuracy and relevance. It covers everything from building efficient search indexes to integrating language models like OpenAI's GPT and optimizing workflows for real-world deployment. Through hands-on examples and expert insights, you'll learn to create robust AI pipelines capable of handling diverse datasets and delivering intelligent results.By the end of this book, you'll have a complete understanding of how to combine retrieval-based search methods with generative AI models to create powerful, scalable, and context-aware systems tailored to your unique needs.Key Features of This BookComprehensive RAG Pipeline Design: Learn to build and deploy Retrieval-Augmented Generation systems step-by-step.Hands-On Code Examples: Implement RAG pipelines with Python, Elasticsearch, FAISS, LangChain, and more.Real-World Use Cases: Discover how RAG is transforming industries like customer service, recommendation engines, and enterprise search.Advanced Techniques: Explore hybrid search methods, fine-tuning language models, and optimizing retrieval speed.Practical Insights: Understand the challenges, pitfalls, and solutions for scaling and deploying AI systems in the real world.This book is designed for data scientists, AI engineers, developers, and researchers looking to deepen their expertise in RAG systems. Whether you're a beginner eager to explore modern AI techniques or a professional aiming to optimize retrieval workflows, this book offers valuable insights and practical knowledge for all levels. Ready to transform your AI systems with next-gen retrieval methods? Get your copy of Search Engines and RAG in AI: Boost Model Accuracy with Next-Gen Retrieval Methods today and start building intelligent, context-aware solutions that set you apart! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.