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Book Overview & Buying
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Table Of Contents
LLMs in Enterprise
By :
Deploying LLMs in production is a multifaceted challenge that goes far beyond integrating a model API. This chapter outlined the key principles and operational strategies needed to run LLM systems reliably at scale. It began with monitoring and observability, highlighting the importance of tracking model quality, cost, and user experience using tools such as Prometheus and LangSmith. It then explored reliability and robustness, covering failure modes, testing practices, and multi-model architectures for resilience.
Security was addressed through techniques for data protection, threat mitigation, and auditability, ensuring that systems remain compliant and trustworthy. The chapter also delved into cost optimization and scaling, offering guidance on reducing token usage, deploying via Kubernetes, and handling edge cases such as real-time latency. Finally, it reflected on real-world lessons and emerging trends, including human-in-the-loop systems and self-monitoring LLMs...