Agentic AI Engineering with Generative AI: Designing, Building, and Scaling Goal-Driven, LLM-Powered Systems
Language: English
Published by Independently published, 2025
- Softcover
- New

Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
AbeBooks seller since January 28, 2020
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- Title
- Agentic AI Engineering with Generative AI: Designing, Building, and Scaling Goal-Driven, LLM-Powered Systems
- Author
- Zhirov, Proclus
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798266779266
This comprehensive guide provides a structured approach to engineering agentic AI systems powered by generative AI, covering design, development, and deployment. Key chapters include:
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Core Concepts and Technologies: Explore frameworks like LangChain and LlamaIndex, hardware requirements, and integration with external tools.
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Defining Purpose and Scope: Align agents with clear objectives, success metrics, and environmental constraints
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Choosing the Right Model: Balance fine-tuning and prompt engineering, manage token limits, and address cost considerations
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Development Environment: Set up testing, debugging, and frameworks like Hugging Face Transformers
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Prompt Engineering: Craft effective prompts, mitigate ambiguity, and refine iteratively for task automation
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Agentic Workflows: Integrate generative AI with APIs, manage state, and optimize workflows
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Autonomy with RL: Enhance agents with reinforcement learning for adaptive decision-making
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Multi-Agent Systems: Design collaborative agents with specialized roles and robust communication protocols.
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Testing and Safety: Evaluate outputs, ensure robustness, and implement ethical guardrails
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Deployment and Scaling: Deploy on cloud, on-premise, or edge, with monitoring and maintenance strategies
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Enhanced Capabilities: Incorporate multimodal inputs, real-time adaptation, and IoT integration for advanced applications like smart home control.
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Ethical Design: Mitigate bias, ensure transparency, and comply with regulations like GDPR and HIPAA.
By combining LLMs, Stable Diffusion, and next-gen tools, this guide equips developers to build scalable, ethical, and autonomous agents that push the boundaries of AI-driven productivity and creativity.
"Synopsis" may belong to another edition of this title.
GreatBookPricesUK
Woodford Green, United Kingdom
AbeBooks seller since January 28, 2020
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