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articles/ai-services/openai/concepts/fine-tuning-considerations.md

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@@ -5,7 +5,7 @@ description: Learn more about what you should take into consideration before fin
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manager: nitinme
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ms.service: azure-ai-openai
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ms.topic: conceptual
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ms.date: 10/23/2023
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ms.date: 08/29/2024
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author: mrbullwinkle
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ms.author: mbullwin
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recommendations: false
@@ -79,7 +79,7 @@ Even with a great use case, fine-tuning is only as good as the quality of the da
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Another important point is even with high quality data if your data isn't in the necessary format for fine-tuning you'll need to commit engineering resources in order to properly format the data.
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| Data | Babbage-002 & Davinci-002 | GPT-3.5-Turbo |
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| Data | Babbage-002 <br> Davinci-002 | GPT-3.5-Turbo <br> GPT-4o & GPT-4o mini <br> GPT-4 |
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|---|---|---|
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| Volume | Thousands of Examples | Thousands of Examples |
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| Format | Prompt/Completion | Conversational Chat |

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