alopatenko/LLMEvaluation
A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use cases, promote the adoption of best practices in LLM assessment, and critically assess the effectiveness of these evaluation methods.
This compendium helps academics and industry professionals effectively evaluate Large Language Models (LLMs) and their applications. It takes in various LLM models or systems and outputs a comprehensive understanding of their performance, limitations, and suitability for specific tasks. Anyone responsible for deploying or assessing AI models in their organization, such as AI product managers, research scientists, or data scientists, would find this useful.
181 stars.
Use this if you need to select the best methods for evaluating an LLM's effectiveness, understand its performance in a particular domain, or align LLM evaluations with specific business or academic goals.
Not ideal if you are looking for an automated evaluation tool or software rather than a comprehensive guide to evaluation methods and best practices.
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Last pushed
Mar 06, 2026
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