Analyzing LLM Evaluations of Customer Reviews Using Repetitions Feature @arizeai

Uploaded October 2025 | Updated September 2026, 2 weeks ago

Learn how to run experiments with repetitions in Phoenix to make your LLM evals more reliable. In this video, we’ll break down what datasets, experiments, and repetitions are, why repetitions matter for reducing uncertainty, and then walk through a hands-on notebook example analyzing synthetic customer reviews.

Try it yourself with the linked notebook and explore more in the Phoenix docs.

Code: github.com/Arize-ai/phoenix/blob/main/tutorials/experiments/running_experiments_with_repetitions.ipynb
Phoenix: arize.com/docs/phoenix/cookbook/datasets-and-experiments/analyzing-customer-review-evals-with-repetition-experiments
Community: arize.com/community

Analyzing LLM Evaluations of Customer Reviews Using Repetitions Feature

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Analyzing LLM Evaluations of Customer Reviews Using Repetitions Feature