Scaling Enterprise Solutions with Large Language Models : Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2025

A. GangulyScaling Enterprise Solutions with Large Language Models https://doi.org/10.1007/979-8-8688-1154-8_6

6. LLM Evaluation and Optimization

Arindam Ganguly¹  

(1)

Howrah, West Bengal, India

 

This chapter focuses on getting the maximum efficiency from Generative AI with minimal resource consumption. Achieving maximum efficiency involves getting the best results out of the LLM. Hence, this chapter starts by explaining the need to evaluate an LLM. It also discusses hallucinations, which are made-up results that are not factual.

You learn a new framework from LangChain, called LangGraph and how it can be used to evaluate an LLM using a technique known as LLM ...