DSPy Agentic Systems: Designing Adaptive AI Agents with Declarative Reasoning and Memory in Python - Couverture souple

Livre 2 sur 3: Agentic Systems Engineering Series

Ming, Alex

 
9798274350594: DSPy Agentic Systems: Designing Adaptive AI Agents with Declarative Reasoning and Memory in Python
Couverture souple
ISBN 13 : 9798274350594
Editeur : Independently published, 2025

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798274350594
Reliure
Broché
Nombre de pages
220
Coordonnées du fabricant
non disponible
Personne responsable
non disponible