Create, run, and analyze Arize experiments against versioned datasets.
npx skills add https://github.com/ethan-rio/skills --skill arize-experiment-ethan-rio
Please help me install this Agent Skill. Skill: arize-experiment Source: https://github.com/ethan-rio/skills/tree/main/skills/arize/arize-experiment Command: npx skills add https://github.com/ethan-rio/skills --skill arize-experiment-ethan-rio
This Skill eliminates the manual, error-prone work of tracking, running, and comparing AI model experiment results, making it easy to benchmark model performance and identify regressions without scattered spreadsheets or ad-hoc scripts.
Use the arize-experiment skill to create a new experiment named 'claude-v3-test' against your latest customer support dataset, run inference on all examples, and compare its correctness score to your existing gpt-4o baseline experiment.
High-intent search queries and answers about installing and using this skill.
You can create and run Arize experiments against versioned datasets, then export evaluation scores to benchmark prompt variants and identify regressions between test versions.
Arize experiments track model benchmarks by tying runs to specific versioned datasets, replacing ad-hoc scripts and spreadsheets with structured CRUD operations and automated score comparisons.
Yes, you need the ax CLI installed and a configured Arize profile with valid API credentials, plus access to the target Arize space and dataset to execute A/B testing workflows.
You detect production model regressions by running a baseline experiment for your current model, testing the new variant, and comparing correctness and relevance scores across both runs.
Yes, you can manage existing Arize experiments using CRUD operations to create, list, retrieve, and delete experiments tied to your specific versioned datasets.
Limitations include the strict dependency on the ax CLI, valid API credentials, and existing access to the target Arize space and versioned datasets, meaning workflows cannot run offline or without proper permissions.
Arize-aiManage Arize AI experiments with CRUD operations and run analysis via the `ax` CLI.
carlopezzutoCompute automated metrics and capture human feedback for LLM evaluation.
Arize-aiManage Arize datasets and examples via the ax CLI.
anilcan-karaLog ML experiments, metrics, and artifacts with Weights & Biases.
