DSPy Agentic Systems: Designing Adaptive AI Agents with Declarative Reasoning and Memory in Python (Agentic Systems Engineering Series, Band 2) - Softcover

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

Taschenbuch. Zustand: Neu. Neuware - 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 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. Artikel-Nr. 9798274350594

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