Advanced DSPy for Agentic Workflows: Self-Improving Pipelines, Advanced RAG, and Real-World MLOps with DSPy: 2 - Brossura
Libro 2 di 2: The DSPy Agentic Engineering Series
Sinossi
Once you understand the foundations of DSPy, the next step is learning how to build scalable, self-improving, production-grade AI systems. This advanced volume shows you exactly how to architect complex agentic workflows, implement optimization loops, orchestrate multi-agent systems, and deploy DSPy agents in real MLOps environments.
Advanced DSPy for Agentic Workflows takes you deep into DSPy’s most powerful capabilities—optimization, multi-agent orchestration, tool architectures, advanced RAG, multimodal processing, evaluation frameworks, and enterprise deployment patterns. This is the book that shows you how to build real AI systems, not toy examples.
What You’ll Learn
- How to architect multi-step, multi-agent DSPy pipelines
- How to build dynamic, tool-using agents that call APIs, tools, and services
- How to design advanced RAG systems: multi-hop, hierarchical, hybrid retrieval
- How to use BootstrapFewShot, MIPRO, and tuners to create self-improving agents
- How to implement guardrails, auto-correction, and self-healing systems
- How to integrate multimodal workflows (vision, audio, documents)
- How to build real-time, event-driven, and streaming DSPy agents
- How to track performance with MLflow, Redis, dashboards, and metrics
- How to deploy scalable, fault-tolerant agent infrastructure in production
- How to optimize for cost, speed, reliability, and enterprise scale
- AI engineers and ML developers
- DSPy users ready to master optimization and multi-agent systems
- Teams deploying AI systems in production environments
- Architects designing scalable enterprise workflows
If you want to design advanced agent pipelines, build self-improving systems, and deploy scalable AI architectures, this is the definitive guide.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Advanced DSPy for Agentic Workflows: Self-Improving...
Foto dell'editore
Advanced DSPy for Agentic Workflows (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Once you understand the foundations of DSPy, the next step is learning how to build scalable, self-improving, production-grade AI systems. This advanced volume shows you exactly how to architect complex agentic workflows, implement optimization loops, orchestrate multi-agent systems, and deploy DSPy agents in real MLOps environments.Advanced DSPy for Agentic Workflows takes you deep into DSPy's most powerful capabilities-optimization, multi-agent orchestration, tool architectures, advanced RAG, multimodal processing, evaluation frameworks, and enterprise deployment patterns. This is the book that shows you how to build real AI systems, not toy examples.What You'll LearnHow to architect multi-step, multi-agent DSPy pipelinesHow to build dynamic, tool-using agents that call APIs, tools, and servicesHow to design advanced RAG systems: multi-hop, hierarchical, hybrid retrievalHow to use BootstrapFewShot, MIPRO, and tuners to create self-improving agentsHow to implement guardrails, auto-correction, and self-healing systemsHow to integrate multimodal workflows (vision, audio, documents)How to build real-time, event-driven, and streaming DSPy agentsHow to track performance with MLflow, Redis, dashboards, and metricsHow to deploy scalable, fault-tolerant agent infrastructure in productionHow to optimize for cost, speed, reliability, and enterprise scaleWho This Book Is ForAI engineers and ML developersDSPy users ready to master optimization and multi-agent systemsTeams deploying AI systems in production environmentsArchitects designing scalable enterprise workflowsThis volume gives you production-level expertise-the patterns, architectures, tuners, safety systems, and MLOps tooling required to operate DSPy agents in the real world.If you want to design advanced agent pipelines, build self-improving systems, and deploy scalable AI architectures, this is the definitive guide. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798274058742
Compra nuovo
EUR 21,30
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Advanced DSPy for Agentic Workflows
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798274058742
Compra nuovo
EUR 19,62
Spedizione EUR 4,88
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Advanced DSPy for Agentic Workflows (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Once you understand the foundations of DSPy, the next step is learning how to build scalable, self-improving, production-grade AI systems. This advanced volume shows you exactly how to architect complex agentic workflows, implement optimization loops, orchestrate multi-agent systems, and deploy DSPy agents in real MLOps environments.Advanced DSPy for Agentic Workflows takes you deep into DSPy's most powerful capabilities-optimization, multi-agent orchestration, tool architectures, advanced RAG, multimodal processing, evaluation frameworks, and enterprise deployment patterns. This is the book that shows you how to build real AI systems, not toy examples.What You'll LearnHow to architect multi-step, multi-agent DSPy pipelinesHow to build dynamic, tool-using agents that call APIs, tools, and servicesHow to design advanced RAG systems: multi-hop, hierarchical, hybrid retrievalHow to use BootstrapFewShot, MIPRO, and tuners to create self-improving agentsHow to implement guardrails, auto-correction, and self-healing systemsHow to integrate multimodal workflows (vision, audio, documents)How to build real-time, event-driven, and streaming DSPy agentsHow to track performance with MLflow, Redis, dashboards, and metricsHow to deploy scalable, fault-tolerant agent infrastructure in productionHow to optimize for cost, speed, reliability, and enterprise scaleWho This Book Is ForAI engineers and ML developersDSPy users ready to master optimization and multi-agent systemsTeams deploying AI systems in production environmentsArchitects designing scalable enterprise workflowsThis volume gives you production-level expertise-the patterns, architectures, tuners, safety systems, and MLOps tooling required to operate DSPy agents in the real world.If you want to design advanced agent pipelines, build self-improving systems, and deploy scalable AI architectures, this is the definitive guide. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798274058742
Compra nuovo
EUR 23,54
Spedizione EUR 43,39
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili