From a4e738964571a4c4b0f1c7f51830601af527dd12 Mon Sep 17 00:00:00 2001 From: Daisy Sheng Date: Thu, 31 Jul 2025 08:22:23 -0700 Subject: [PATCH] grader link fix --- examples/evaluation/use-cases/EvalsAPI_Image_Inputs.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/evaluation/use-cases/EvalsAPI_Image_Inputs.ipynb b/examples/evaluation/use-cases/EvalsAPI_Image_Inputs.ipynb index 12a65e5efc..b27a9434d3 100644 --- a/examples/evaluation/use-cases/EvalsAPI_Image_Inputs.ipynb +++ b/examples/evaluation/use-cases/EvalsAPI_Image_Inputs.ipynb @@ -174,7 +174,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "For our testing criteria, we set up our grader config. In this example, it is a model grader that takes in an image, reference answer, and sampled model response (in the `sample` namespace), and then outputs a score between 0 and 1 based on how closely the model response matches the reference answer and its general suitability for the conversation. For more info on model graders, visit [API Grader docs](hhttps://platform.openai.com/docs/api-reference/graders). \n", + "For our testing criteria, we set up our grader config. In this example, it is a model grader that takes in an image, reference answer, and sampled model response (in the `sample` namespace), and then outputs a score between 0 and 1 based on how closely the model response matches the reference answer and its general suitability for the conversation. For more info on model graders, visit [API Grader docs](https://platform.openai.com/docs/api-reference/graders). \n", "\n", "Getting the both the data and the grader right are key for an effective evaluation. So, you will likely want to iteratively refine the prompts for your graders. " ]