Advanced dspy agentic workflows par blake aaron (3 résultats)
Langue : anglais
Edité par Independently Published, 2025
Série : The DSPy Agentic Engineering Series, Livre 2 sur 2. Livre 2 sur 2 - The DSPy Agentic Engineering Series
- Couverture souple
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 19,62
EUR 4,88 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Independently Published, 2025
Série : The DSPy Agentic Engineering Series, Livre 2 sur 2. Livre 2 sur 2 - The DSPy Agentic Engineering Series
- Couverture souple
- impression à la demande
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 22,29
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : 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.
Langue : anglais
Edité par Independently Published, 2025
Série : The DSPy Agentic Engineering Series, Livre 2 sur 2. Livre 2 sur 2 - The DSPy Agentic Engineering Series
- Couverture souple
- impression à la demande
Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 23,53
EUR 43,39 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : 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.
