Showing results by author "Anand V" in All Categories
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Generative AI in Academia: Transforming Research and Teaching
- By: Anand V
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The transformative role of generative AI in academia, focusing on its impact on both research and teaching. It offers educators, researchers, and academic leaders practical insights into how AI-generated content, models, and simulations can enhance educational practices and revolutionize research methodologies. The book delves into case studies of AI-driven advancements across disciplines, such as humanities, social sciences, and STEM fields, providing real-world applications for curriculum development, student engagement, and knowledge discovery. It also addresses the ethical considerations.
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Achieving NetZero: Comprehensive Strategies and Implementation for a Sustainable Future
- By: Anand V
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a comprehensive guide for organizations to achieve and maintain net zero greenhouse gas emissions. The standard establishes a framework with principles, requirements, and guidelines to plan, implement, monitor, and continuously improve a NetZero Management System. It outlines critical aspects like leadership commitment, risk management, lifecycle perspective, and stakeholder engagement. The document also explores strategies for achieving net zero emissions, including energy efficiency measures, renewable energy integration, carbon offset projects, and circular economy practices.
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Generative AI Infrastructure: Scaling and Performance Optimization
- By: Anand V
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Generative AI Infrastructure: Scaling and Performance Optimization" is an in-depth exploration of the technical foundations needed to deploy and scale generative AI models efficiently. The book covers the essential components of AI infrastructure, from choosing the right hardware and cloud platforms to optimizing training and inference workloads for performance. Readers will learn about distributed training techniques, GPU/TPU utilization, model compression, and techniques for reducing latency in real-time applications.
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