Advanced Agentic AI Systems with DSPy: Optimization, Evaluation, Dataset Engineering, and Production-Grade DSPy Architectures (DSPy Agentic Engineering Series)
Format:
Hardcover
En stock
0.57 kg
Sí
Nuevo
Amazon
USA
- Advanced Agentic AI Systems with DSPy expands your foundation from Book 1 and dives into the engineering required to run DSPy agents in high-scale, high-stakes environments. This volume focuses on deeper architectural patterns, performance tuning, dataset-driven behavior control, multi-agent orchestration, and enterprise-ready deployment strategies. Through advanced design patterns and real-world scenarios, you’ll learn how to architect distributed DSPy systems, coordinate complex multi-agent pipelines, design deterministic tool-use workflows, and integrate DSPy into event-driven and cloud-native environments. The book emphasizes durability, auditability, and long-term maintainability—ensuring your systems stay reliable even as complexity grows. What You Will LearnDistributed DSPy workflows and high-performance orchestrationsMulti-agent coordination and communication protocolsLayered RAG architectures with domain-specific retrieval modulesDataset optimization strategies for precision, reliability, and scaleBuilding event-driven, real-time agentic pipelinesDesigning secure DSPy systems with governance and audit boundariesProduction deployment patterns for cloud, microservices, and hybrid environmentsMonitoring, evaluating, and continuously improving agentic behaviorIf you're building true production systems, not prototypes, this book gives you the architectural knowledge, patterns, and operational guidance required to run DSPy-powered agentic AI at enterprise scale.
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