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DSPy Agentic Systems

Designing Adaptive AI Agents with Declarative Reasoning and Memory in Python

Language EnglishEnglish
Book Paperback
Book DSPy Agentic Systems Alex Ming
Libristo code: 50604066
Publishers Independently published, November 2025
using Stanford's DSPy framework. In this in-depth exploration, Alex Ming introduces you to a declara... Full description
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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
With 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.

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About the book

Full name DSPy Agentic Systems
Author Alex Ming
Language English
Binding Book - Paperback
Date of issue 2025
Number of pages 222
EAN 9798274350594
Libristo code 50604066
Publishers Independently published
Weight 395
Dimensions 178 x 254 x 12

Categories

Computing & Information Technology > Computer science > Artificial intelligence
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