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gsvigruha
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cswatt
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FouadWahabi
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| Pydantic is an open source framework that provides ready-to-use evaluations and allows for customizable LLM evaluations. For more information, see [Pydantic's documentation][3]. | ||
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| You can use LLM Observability to run Pydantic evaluations and scalar Pydantic report evaluations in [Experiments][1]. Pydantic evaluation results appear as evaluator results tied to each instance in an [LLM Observability dataset][5]. Pydantic report evaluations appear as a scalar result tied to an LLM Observability dataset. |
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Pydantic report evaluations appear as a scalar result tied to an LLM Observability dataset
The evaluator result should be tied to the spans not the dataset, this could be a bit misleading
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Maybe this should be rephrased. There is one report evaluation result for an entire dataset. I rephrased to
Pydantic report evaluations run on an entire LLM Observability dataset and report one scalar result for the dataset.
which is hopefully more clear :)
FouadWahabi
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What does this PR do? What is the motivation?
This PR adds documentation for the pydantic evals integration with LLM Obs experiments.
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We are waiting on the next release of dd-trace to merge this pr as it contains the pydantic integration with LLM Obs experiments.
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