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Agentic ai evals at scale is hard.

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Runs agent evaluations inside Docker Hub containers, loading datasets from Hugging Face and applying user-defined scorers.

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Agentic ai evals at scale is hard. You have to manage infra, eval datasets, agents, and runs. Do it all in one helpful platform with huggingface datasets, docker hub containers, and saved agents. Specify custom scorers and environments and view detailed logs too

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