DSPy Context Engineering for Developers: Structure, Optimize, and Supercharge Your AI Agent Workflows (The AI Developer Series Book 2)
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0.33 kg
0.33 kg
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Producto de:
Amazon
Amazon
Sobre este producto
- Architect context-aware agents that remember, reason, and adapt across multi-turn conversations
- Implement robust pipelines using DSPy’s signatures, modules, and optimizer tools
- Automate prompt tuning for accuracy, relevance, and lower token costs
- Build persistent memory flows, retrieval-augmented generation, and multi-agent coordination
- Enforce output quality and policy compliance with LM assertions and self-correcting logic
- Integrate your workflows with MLflow for experiment tracking, cost control, and scalable deployment
- Build and debug modular AI workflows that stand up to production demands
- Scale your DSPy pipelines seamlessly across model providers
- Reduce operational costs with caching, batching, and disciplined call management
- Futureproof your apps with transparent, testable, and maintainable design patterns
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