Unlock the Power of AI in the Real World -- From Architecture to Deployment In the age of foundation models and generative AI, Applied AI Systems: From Model to Market is the essential field guide for engineers, architects, product managers, and innovators who are serious about building scalable, production-ready AI applications. Written in a clear, confident tone by a seasoned AI practitioner, this book bridges the gap between theory and execution. You'll explore: How to choose, fine-tune, and scale foundation models and large language models (LLMs) The principles of building AI-native products with robustness, fairness, and speed MLOps best practices for training, deployment, and monitoring in production Proven architectures and real-world use cases across industries How to navigate compliance, ethics, and business alignment with AI systems Whether you're launching a startup, scaling enterprise infrastructure, or transitioning from model prototyping to production pipelines--this book gives you the clarity, confidence, and technical depth to thrive in the AI era. Stay ahead. Build smarter. Move from model to market--faster and better.
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