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Steyerl Hito: Medium Hot

Medium Hot

Images in The Age of Heat

Liquid Reflections

A Literary Hub Most Anticipated BookAn urgent wake-up call about the coming large-scale human displacement caused by climate change, from one of the world's leading expertsMere decades from now, millions of people all over the world will be forced to move because of climate change. Entire islands will disappear into the sea. Once-in-a-century hurricanes will occur on a regular basis, decimating cities and wiping out peoples' homes. Wildfires fed by prolonged drought will rage through communities. No one will be immune: in countries rich and poor, climate change will usher in a new era of migration. In Shelter from the Storm noted journalist and migration researcher Julian Hattem tells the story of the massive human displacement that is already being caused by climate change. With hard-hitting journalism from the front lines of the environmental apocalypse, Hattem takes the reader on a journey from the South Pacific to the Indian subcontinent, the Mediterranean, and beyond, offering a shocking glimpse into the human geography wrecked by a warming planet. Shelter from the Storm also provides rich historical perspective on how climate has impacted migration and a primer on cutting-edge climatological research, creating a multidimensional portrait of this uncertain new age. A work of profound expertise and storytelling, Shelter from the Storm gives a human face to the millions of climate migrants who are leaving their homes-and the millions more who will follow.

How Climate Change Is Creating a New Era of Migration

Shelter from the Storm

Routledge Research in Art History

Through a rereading of the available textual and visual sources of Symbolist theater and of the work of Nabi artists, as well as through an analysis of sources and paintings previously unexamined in the existing literature, this book rewrites the history of the cross-fertilization between Nabi art and Symbolist theater.

The Nabis and Symbolist Theater

Building a Program for Strategy and Oversight

Practical AI Governance

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Renaissance Lives

Francisco de Zurbarán and the Fabric of the World

Afro-Latin America

Art and Anti-Racism in Latin America

Library of Gender and Popular Culture

Female Dandyism in Popular Music

Pop & Postfeminism

Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver measurable business value.
This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.
Key Learning Objectives
<ul>
<li>Design and implement production-ready RAG architectures for diverse enterprise use cases</li>
<li>Master advanced retrieval strategies including graph-based approaches and agentic systems</li>
<li>Optimize performance through sophisticated chunking, embedding, and vector database techniques</li>
<li>Navigate the integration of RAG with modern LLMs and generative AI frameworks</li>
<li>Implement robust evaluation frameworks and quality assurance processes</li>
<li>Deploy scalable solutions with proper security, privacy, and governance controls</li>
</ul>
Real-World Applications
<ul>
<li>Intelligent document analysis and knowledge extraction</li>
<li>Code generation and technical documentation systems</li>
<li>Customer support automation and decision support tools</li>
<li>Regulatory compliance and risk management solutions</li>
</ul>
Whether you're an AI engineer scaling existing systems or a technical leader planning next-generation capabilities, this book provides the expertise needed to succeed in the rapidly evolving landscape of enterprise AI.
What You Will Learn
<ul>
<li>Architecture Mastery: Design scalable RAG systems from prototype to enterprise production</li>
<li>Advanced Retrieval: Implement sophisticated strategies, including graph-based and multi-modal approaches</li>
<li>Performance Optimization: Fine-tune embedding models, vector databases, and retrieval algorithms for maximum efficiency</li>
<li>LLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworks</li>
<li>Production Excellence: Deploy robust systems with monitoring, evaluation, and continuous improvement processes</li>
<li>Industry Applications: Apply RAG solutions across diverse sectors, including finance, healthcare, legal, and technology</li>
</ul>

Advanced Techniques and Production-Ready Solutions for Enterprise AI

Mastering Retrieval-Augmented Generation

On Photography and Social Media

The Social Photo

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.

AI for Design and Optimization of Cellular Networks

A Cultural History

The Italian Renaissance

Medium Hot

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