Advanced Agentic AI Systems with DSPy: Optimization, Evaluation, Dataset Engineering, and Production-Grade DSPy Architectures: 2 (DSPy Agentic Engineering Series) - Tapa blanda

Sinopsis

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 Learn

• Distributed DSPy workflows and high-performance orchestrations
• Multi-agent coordination and communication protocols
• Layered RAG architectures with domain-specific retrieval modules
• Dataset optimization strategies for precision, reliability, and scale
• Building event-driven, real-time agentic pipelines
• Designing secure DSPy systems with governance and audit boundaries
• Production deployment patterns for cloud, microservices, and hybrid environments
• Monitoring, evaluating, and continuously improving agentic behavior

If 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.

"Sinopsis" puede pertenecer a otra edición de este libro.