Pairwise Evaluations with LangSmith
LangSmith's pairwise evaluation enables users to compare two LLM-generated responses using a custom evaluator, offering a clearer assessment of which output is better based on predefined criteria. This feature is particularly useful for tasks without a single correct answer, such as content generation, and allows for direct comparison of two results. In an example, pairwise evaluation revealed preferences among four LLMs in generating engaging tweets, demonstrating its effectiveness in highlighting differences between models.
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