Inhaltsangabe
Conversational AI is no longer a chatbot problem. It's an enterprise systems problem.
Conversational AI at Scale: Dialogue, Context & Safety is a practical guide for architects, engineers, technology leaders, and AI governance professionals building real-world conversational AI platforms.
Move beyond prompts and prototypes to learn how modern conversational systems are designed, deployed, secured, governed, evaluated, and scaled across large organizations.
Inside, you'll learn how to:
- Design enterprise-grade dialogue architectures
- Build context-aware and memory-enabled AI systems
- Implement Retrieval-Augmented Generation (RAG)
- Orchestrate LLMs, tools, workflows, and agents
- Measure reliability, observability, and user experience
- Defend against prompt injection and AI security threats
- Create governance frameworks and responsible AI programs
- Scale conversational platforms from thousands to millions of interactions
- Operate AI safely in regulated and high-risk environments
- Prepare for the future of multi-agent and autonomous enterprise systems
Filled with architectural patterns, operational lessons, governance strategies, and real-world design challenges, this book provides a complete blueprint for building trustworthy conversational intelligence at enterprise scale.
For AI Architects, ML Engineers, Conversational AI Engineers, Platform Leaders, CTOs, Chief AI Officers, Product Leaders, and Responsible AI teams.
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Conversational AI at Scale: Dialogue, Context & Safety
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