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Table Of Contents
LLMs in Enterprise
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As large language models (LLMs) continue to reshape the enterprise landscape, organizations face the critical challenge of properly evaluating these powerful yet complex systems. This chapter explores how LLM evaluation has evolved from simple accuracy metrics to comprehensive frameworks addressing real-world performance, ethical considerations, and business value.
The evolution of LLMs has been remarkable from early models with limited capabilities to today’s sophisticated systems that can generate human-like text, reason through complex problems, and adapt to specialized domains. However, this evolution brings new evaluation challenges that traditional machine learning metrics cannot fully address. How do we measure the quality of open-ended text generation? How can we ensure models remain reliable when deployed in critical business functions? What frameworks best capture both technical performance and business impact...