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Large Language Models (LLMs) process input data and generate text based on learned probabilities. When organizations integrate these language models into their software systems, they must ensure the generated output meets strict operational standards. Evaluating this output is a mandatory procedure before deploying any model to production environments. This guide details a structured approach to understanding and implementing evaluation protocols for large language models.