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Shipping with Frontier Models: Engineering Resilient Systems on Frontier APIs with Advanced Orchestration and Streaming (Applied LLM Engineering Series)

Shipping with Frontier Models: Engineering Resilient Systems on Frontier APIs with Advanced Orchestration and Streaming (Applied LLM Engineering Series)

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Build Production-Ready AI Applications That Scale and SurviveMost development teams using Claude, GPT-4, and other frontier APIs only scratch the surface of what these models can do. Shipping with Frontier Models is a practitioner-grade guide that treats prompt caching, tool use, structured outputs, and cost engineering as first-class architectural primitives—not just tutorial footnotes.Through twelve deep-dive chapters, you will learn how to design, deploy, and optimize complex LLM applications. Stop guessing with prompts and start building resilient software systems on top of probabilistic APIs.Inside this comprehensive guide, you will discover how to:Slash Input Costs by 70-90%: Design system prompts optimized for server-side prompt caching locality and latency reduction.Build Reliable Tool-Use Loops: Implement production-grade agentic workflows with explicit state-machine control and rigorous schema validation.Enforce Strict Type Safety: Treat structured outputs and JSON modes as typed contracts between frontier APIs and your backend microservices.Optimize Unit Economics: Master batch processing for non-interactive workloads, streaming backpressure, and cost-per-successful-interaction tracking.Handle Distributed System Errors: Architect resilient systems with idempotency keys, graceful retries, and clean user experience recovery paths.Whether you are an application developer, full-stack engineer, AI practitioner, or startup CTO, this book provides the production-tested blueprint you need to build robust, economical, and enterprise-grade AI applications. Do not just build demos—ship production software that scales.
ASIN:B0HBWN1DT2
発売日:2026/7/28
言語:英語
商品の重量:177 g
寸法:15.24 x 0.48 x 22.86 cm
ISBN-13:979-8189532832