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docs: update title and final formatting for Stripe model-eval notebook
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examples/stripe_model_eval/selecting_a_model_for_stripe_conversion.ipynb renamed to examples/stripe_model_eval/selecting_a_model_based_on_stripe_conversion.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Selecting a model for Stripe conversion: A practical eval for startups\n",
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"# Selecting a Model Based on Stripe Conversion: A Practical Eval for Startups\n",
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"## Overview\n",
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"The best model for you depends on your business goal. Many startups choose large language models (LLMs) based on offline evaluations and public benchmarks. However, a model that achieves high scores on a benchmark may not necessarily lead your users to pay, subscribe, or continue using your product. Models that look strong on paper can underperform when measured against actual business outcomes.\n",
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"\n",

registry.yaml

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- title: Selecting a Model for Stripe Conversion – A Practical Eval for Startups
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path: examples/stripe_model_eval/selecting_a_model_for_stripe_conversion.ipynb
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- title: Selecting a Model Based on Stripe Conversion – A Practical Eval for Startups
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path: examples/stripe_model_eval/selecting_a_model_based_on_stripe_conversion.ipynb
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date: 2025-06-02
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authors:
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- joshbickett

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