Advanced Large Language Model Operations: Best Practices and Key Concepts (The Springer Series in Applied Machine Learning)

This book presents a practitioner-oriented treatment of LLMOps: the engineering discipline required to deploy, scale, and govern large language model systems in production.Advanced Large Language Model Operations explains why LLM deployments differ from classical MLOps - due to cost/latency economics, non-deterministic behavior, retrieval and tool-calling pipelines, and new security and compliance threat models - and translates these realities into concrete operational patterns, metrics, and decision frameworks for real-world systems. The text is organized into four parts spanning foundations, production delivery, optimization, and governance, culminating in a capstone implementation.It uses Ishtar AI, a high-stakes, evidence-grounded journalism assistant, as a running case study to connect theory to practice across infrastructure and environment design, CI/CD and continuous evaluation, observability, scaling, performance optimization, retrieval-augmented generation, multi-agent orches