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How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269

MLOps.community

CHAPTER

Evaluating Large Language Models

This chapter explores the unique challenges and innovative methods for evaluating large language models (LLMs) beyond traditional metrics like accuracy and F1 scores. It emphasizes the need for adaptive testing approaches that blend software engineering and data science principles due to the non-deterministic nature of LLM outputs. The discussion also highlights the importance of continuous evaluation and understanding user interactions to enhance the quality of LLM applications in production settings.

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