phoenix-evals

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Build and run evaluators for AI/LLM applications using Phoenix.

AI & Automation 34,233 stars 4188 forks Updated today MIT

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# Phoenix Evals Build evaluators for AI/LLM applications. Code first, LLM for nuance, validate against humans. ## Quick Reference | Task | Files | | ---- | ----- | | Setup | [setup-python](references/setup-python.md), [setup-typescript](references/setup-typescript.md) | | Decide what to evaluate | [evaluators-overview](references/evaluators-overview.md) | | Choose a judge model | [fundamentals-model-selection](references/fundamentals-model-selection.md) | | Use pre-built evaluators | [evaluators-pre-built](references/evaluators-pre-built.md) | | Build code evaluator | [evaluators-code-python](references/evaluators-code-python.md), [evaluators-code-typescript](references/evaluators-code-typescript.md) | | Build LLM evaluator | [evaluators-llm-python](references/evaluators-llm-python.md), [evaluators-llm-typescript](references/evaluators-llm-typescript.md), [evaluators-custom-templates](references/evaluators-custom-templates.md) | | Batch evaluate DataFrame | [evaluate-dataframe-python](references/evaluate-dataframe-python.md) | | Run experiment | [experiments-running-python](references/experiments-running-python.md), [experiments-running-typescript](references/experiments-running-typescript.md) | | Create dataset | [experiments-datasets-python](references/experiments-datasets-python.md), [experiments-datasets-typescript](references/experiments-datasets-typescript.md) | | Generate synthetic data | [experiments-synthetic-python](references/experiments-synthetic-python.md), [e...

Details

Author
github
Repository
github/awesome-copilot
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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