Building Intelligent Applications with Luis.ai (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Building Intelligent Applications with Luis.ai" Unlock the full potential of conversational AI with "Building Intelligent Applications with Luis.ai," a comprehensive guide designed for professionals, architects, and developers seeking to master intelligent application development using Microsoft's powerful Luis.ai platform. Beginning with a thorough overview of conversational intelligence, the book offers a deep exploration of Luis.ai's architecture, foundational concepts, and its strategic integration within Azure Cognitive Services. Practical insights on languages, frameworks, and applicati...
"Building Intelligent Applications with Luis.ai"
Unlock the full potential of conversational AI with "Building Intelligent Applications with Luis.ai," a comprehensive guide designed for professionals, architects, and developers seeking to master intelligent application development using Microsoft's powerful Luis.ai platform. Beginning with a thorough overview of conversational intelligence, the book offers a deep exploration of Luis.ai's architecture, foundational concepts, and its strategic integration within Azure Cognitive Services. Practical insights on languages, frameworks, and application patterns are balanced with guidance on ethical, security, and privacy considerations-equipping readers to design solutions that are both innovative and responsible.
Delving into the intricacies of language understanding, the book methodically covers the design, modeling, and management of Luis.ai solutions, addressing topics such as intent taxonomy, entity extraction, data annotation, and advanced model composition. Readers are guided through robust training, testing, and validation methodologies, with a focus on iterative improvement, bias detection, and performance testing in real-world scenarios. Chapters devoted to API integration, scalable deployments, and real-time architectures ensure practical, production-ready implementations across diverse platforms and modalities.
Beyond development fundamentals, the book addresses the operational realities of intelligent applications, with best practices for telemetry, monitoring, analytics, DevOps automation, and compliance. Security, privacy, and regulatory requirements are examined in depth, emphasizing auditability and incident response. The final sections explore cutting-edge trends, such as integrating large language models, deploying at the intelligent edge, and advancing personalization-all culminating in a forward-looking perspective on the challenges and opportunities shaping the next era of intelligent conversational agents.
Unlock the full potential of conversational AI with "Building Intelligent Applications with Luis.ai," a comprehensive guide designed for professionals, architects, and developers seeking to master intelligent application development using Microsoft's powerful Luis.ai platform. Beginning with a thorough overview of conversational intelligence, the book offers a deep exploration of Luis.ai's architecture, foundational concepts, and its strategic integration within Azure Cognitive Services. Practical insights on languages, frameworks, and application patterns are balanced with guidance on ethical, security, and privacy considerations-equipping readers to design solutions that are both innovative and responsible.
Delving into the intricacies of language understanding, the book methodically covers the design, modeling, and management of Luis.ai solutions, addressing topics such as intent taxonomy, entity extraction, data annotation, and advanced model composition. Readers are guided through robust training, testing, and validation methodologies, with a focus on iterative improvement, bias detection, and performance testing in real-world scenarios. Chapters devoted to API integration, scalable deployments, and real-time architectures ensure practical, production-ready implementations across diverse platforms and modalities.
Beyond development fundamentals, the book addresses the operational realities of intelligent applications, with best practices for telemetry, monitoring, analytics, DevOps automation, and compliance. Security, privacy, and regulatory requirements are examined in depth, emphasizing auditability and incident response. The final sections explore cutting-edge trends, such as integrating large language models, deploying at the intelligent edge, and advancing personalization-all culminating in a forward-looking perspective on the challenges and opportunities shaping the next era of intelligent conversational agents.
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