wip #1841
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wip #1841
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| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Now, lets go to the dashboard to see how we did!" |
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Hopefully this eval is fairly repeatable, so ideally there can be a "takeaway" here, like:
"4.1-mini" does about as well as our original at less cost, etc.
| "outputs": [], | ||
| "source": [ | ||
| "grader_system_prompt = \"\"\"\n", | ||
| "We've created a consumer-facing Evals product to help AI integrators quickly and clearly understand their models' real-world performance. Your role is to serve as a Universal Evaluator, automatically grading responses to measure how well each model output addresses user needs and expectations.\n", |
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Is there a more use-case specific grader we could use here?
The data set is super cool, so I feel like it might be fun to have a specific grader here, rather than a generic one
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Yeah I was gonna refine it once I got it working
josiah-openai
approved these changes
May 13, 2025
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Summary
Adds example scripts for creating evals from stored responses.