Agentic AI Engineering with Generative AI
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Agentic AI Engineering with Generative AI: Designing, Building, and Scaling Goal-Driven, LLM-Powered Systems

Agentic AI Engineering with Generative AI: Designing, Building, and Scaling Goal-Driven, LLM-Powered Systems


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About the Book

This comprehensive guide provides a structured approach to engineering agentic AI systems powered by generative AI, covering design, development, and deployment. Key chapters include: Core Concepts and Technologies: Explore frameworks like LangChain and LlamaIndex, hardware requirements, and integration with external tools. Defining Purpose and Scope: Align agents with clear objectives, success metrics, and environmental constraints Choosing the Right Model: Balance fine-tuning and prompt engineering, manage token limits, and address cost considerations Development Environment: Set up testing, debugging, and frameworks like Hugging Face Transformers Prompt Engineering: Craft effective prompts, mitigate ambiguity, and refine iteratively for task automation Agentic Workflows: Integrate generative AI with APIs, manage state, and optimize workflows Autonomy with RL: Enhance agents with reinforcement learning for adaptive decision-making Multi-Agent Systems: Design collaborative agents with specialized roles and robust communication protocols. Testing and Safety: Evaluate outputs, ensure robustness, and implement ethical guardrails Deployment and Scaling: Deploy on cloud, on-premise, or edge, with monitoring and maintenance strategies Enhanced Capabilities: Incorporate multimodal inputs, real-time adaptation, and IoT integration for advanced applications like smart home control. 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.


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Product Details
  • ISBN-13: 9798266779266
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 130
  • Returnable: N
  • Sub Title: Designing, Building, and Scaling Goal-Driven, LLM-Powered Systems
  • Width: 216 mm
  • ISBN-10: 8266779260
  • Publisher Date: 23 Sep 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 7 mm
  • Weight: 372 gr


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