AI & Language Systems: Designing LLM Workflows for Experts: From Concept to Deployment - Build, Automate, Maintain and Scale Advanced Machine Learning
Language: English
Published by Independently published, 2025
- Softcover
- New
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: New
£ 22.04
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- Title
- AI & Language Systems: Designing LLM Workflows for Experts: From Concept to Deployment - Build, Automate, Maintain and Scale Advanced Machine Learning
- Author
- Minghao, Akira
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798265591432
- Series
- Book 1 of 2: Advanced Intelligence Systems Series: Architecting, Scaling, and Extending the Future of Intelligent Infrastructure
AI Is No Longer an Experiment. It Is Infrastructure.
Artificial intelligence has moved beyond novelty and hype—it now underpins how modern organizations think, build, and operate. For advanced users, the real question is no longer “Can I use AI?” but:
How do I design, scale, and sustain AI systems that deliver real, repeatable impact?
AI & Language Systems: Designing LLM Workflows for Experts is the definitive guide for professionals ready to move beyond basic prompting and into system-level AI architecture.
This book is written for practitioners who already understand the power of modern large language models—ChatGPT, Claude, Gemini, and open-source LLMs—but want to think and operate at a higher level: not as users, but as architects.
What This Book Teaches You
Inside, you’ll learn how to design AI systems that are robust, scalable, and production-ready:
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Engineer advanced LLM workflows that combine text, vision, audio, and code models into cohesive systems
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Build Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases for precision, reliability, and depth
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Orchestrate multi-agent AI systems that collaborate like virtual research teams, analysts, and operators
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Automate high-value knowledge work, including research, publishing, strategy, and decision support
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Design enterprise-grade architectures with security, compliance, and maintainability in mind
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Future-proof your AI systems for multi-modal agents, autonomous workflows, robotics integration, and AGI-ready design
From Concept to Deployment—Not Theory Alone
This is not a collection of prompt tricks or surface-level tutorials.
Each chapter walks you from first principles to real implementation, using:
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System blueprints and architecture maps
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Practical frameworks and workflow patterns
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Real-world case studies across business, research, and creative domains
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Hands-on exercises that reinforce system thinking
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Playbooks for scaling, iteration, and long-term maintenance
You will learn how to move from isolated AI interactions to repeatable, resilient systems that continue to create value long after they are deployed.
Who This Book Is For
This book is ideal for:
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AI practitioners and engineers
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Developers and system designers
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Researchers and technical strategists
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Founders, consultants, and product leaders
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Advanced professionals already using AI—and ready to master the next level
If you are comfortable with AI tools but want to design workflows, not just run prompts, this book will fundamentally change how you think about and build with AI.
Why This Book Matters
AI advantage no longer comes from access to tools—it comes from system design.
Those who can architect intelligent workflows, orchestrate agents, and scale AI responsibly will define the next era of knowledge work.
AI & Language Systems gives you the mindset, frameworks, and execution models to do exactly that.
If you want to stay ahead of the curve—and become genuinely irreplaceable in the age of intelligent machines—this book is your blueprint.
"Synopsis" may belong to another edition of this title.
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