DSPy Agentic Systems: Designing Adaptive AI Agents with Declarative Reasoning and Memory in Python - Tapa blanda
Libro 2 de 3: Agentic Systems Engineering Series
Sinopsis
using Stanford’s DSPy framework. In this in-depth exploration, Alex Ming introduces you to a declarative approach to AI one where agents are not just coded but taught to reason, evaluate, and improve.
You’ll discover how to:
- Build modular, reusable agent pipelines that integrate multiple reasoning components
- Implement contextual memory systems for persistent understanding
- Integrate LLMs to enhance logic, retrieval, and decision-making
- Create feedback and evaluation loops for continual learning
- Deploy multi-agent collaboration systems that share goals and information dynamically
"Sinopsis" puede pertenecer a otra edición de este libro.
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DSPy Agentic Systems (Paperback)
Impresión bajo demandaLibrería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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Paperback. Condición: new. Paperback. using Stanford's DSPy framework. In this in-depth exploration, Alex Ming introduces you to a declarative approach to AI one where agents are not just coded but taught to reason, evaluate, and improve.You'll discover how to: Build modular, reusable agent pipelines that integrate multiple reasoning componentsImplement contextual memory systems for persistent understandingIntegrate LLMs to enhance logic, retrieval, and decision-makingCreate feedback and evaluation loops for continual learningDeploy multi-agent collaboration systems that share goals and information dynamicallyWith its focus on clarity and engineering rigor, this book equips you to move beyond static prompts into the era of self-improving, context-driven AI. Whether you're building assistants, copilots, or research agents, DSPy Agentic Systems provides the tools and design thinking to craft intelligent systems that truly evolve over time. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798274350594
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DSPy Agentic Systems
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DSPy Agentic Systems
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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. Nº de ref. del artículo: L0-9798274350594
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DSPy Agentic Systems (Paperback)
Impresión bajo demandaLibrería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. using Stanford's DSPy framework. In this in-depth exploration, Alex Ming introduces you to a declarative approach to AI one where agents are not just coded but taught to reason, evaluate, and improve.You'll discover how to: Build modular, reusable agent pipelines that integrate multiple reasoning componentsImplement contextual memory systems for persistent understandingIntegrate LLMs to enhance logic, retrieval, and decision-makingCreate feedback and evaluation loops for continual learningDeploy multi-agent collaboration systems that share goals and information dynamicallyWith its focus on clarity and engineering rigor, this book equips you to move beyond static prompts into the era of self-improving, context-driven AI. Whether you're building assistants, copilots, or research agents, DSPy Agentic Systems provides the tools and design thinking to craft intelligent systems that truly evolve over time. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798274350594
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