ISBN: 9798266779266 - agentic ai engineering with generative ai: designing, building, and scaling goal-driven, llm-powered systems (9 resultados)

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Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. 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 constraintsChoosing the Right Model: Balance fine-tuning and prompt engineering, manage token limits, and address cost considerationsDevelopment Environment: Set up testing, debugging, and frameworks like Hugging Face TransformersPrompt Engineering: Craft effective prompts, mitigate ambiguity, and refine iteratively for task automationAgentic Workflows: Integrate generative AI with APIs, manage state, and optimize workflowsAutonomy with RL: Enhance agents with reinforcement learning for adaptive decision-makingMulti-Agent Systems: Design collaborative agents with specialized roles and robust communication protocols.Testing and Safety: Evaluate outputs, ensure robustness, and implement ethical guardrailsDeployment and Scaling: Deploy on cloud, on-premise, or edge, with monitoring and maintenance strategiesEnhanced 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. 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 constraintsChoosing the Right Model: Balance fine-tuning and prompt engineering, manage token limits, and address cost considerationsDevelopment Environment: Set up testing, debugging, and frameworks like Hugging Face TransformersPrompt Engineering: Craft effective prompts, mitigate ambiguity, and refine iteratively for task automationAgentic Workflows: Integrate generative AI with APIs, manage state, and optimize workflowsAutonomy with RL: Enhance agents with reinforcement learning for adaptive decision-makingMulti-Agent Systems: Design collaborative agents with specialized roles and robust communication protocols.Testing and Safety: Evaluate outputs, ensure robustness, and implement ethical guardrailsDeployment and Scaling: Deploy on cloud, on-premise, or edge, with monitoring and maintenance strategiesEnhanced 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…