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Simplified Generative AI Architecture Design Guide
In the rapidly evolving world of artificial intelligence, Simplified Generative AI Architecture Design Guide is a clear and practical roadmap for building scalable, secure, and compliant GenAI systems. This comprehensive guide breaks down complex concepts like prompt engineering, cloud-native deployment patterns, bias mitigation, and cross-industry implementations in a way that's both accessible and actionable.
With real-world case studies, technical frameworks, and strategic insights, readers will gain the knowledge needed to navigate the challenges of deploying generative AI in production environments. From serverless models to edge AI, and from GDPR compliance to AI ethics, this guide covers everything modern professionals need to design future-ready AI infrastructure.
Written for developers, architects, AI engineers, compliance officers, and decision-makers, this book bridges the gap between theory and real-world application. If you're looking for a straightforward, no-fluff guide to implementing generative AI in enterprise settings, this is the resource you've been waiting for.
With real-world case studies, technical frameworks, and strategic insights, readers will gain the knowledge needed to navigate the challenges of deploying generative AI in production environments. From serverless models to edge AI, and from GDPR compliance to AI ethics, this guide covers everything modern professionals need to design future-ready AI infrastructure.
Written for developers, architects, AI engineers, compliance officers, and decision-makers, this book bridges the gap between theory and real-world application. If you're looking for a straightforward, no-fluff guide to implementing generative AI in enterprise settings, this is the resource you've been waiting for.
438 pages, Kindle Edition
Published February 17, 2025
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