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Merge branch 'kcpitt_trial-updates' of https://github.com/kcpitt/learn-pr into kcpitt_trial-updates
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learn-pr/wwl-data-ai/optimize-generative-ai-model-performance/6-exercise.yml

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description: Exercise - Optimize generative AI model performance using Microsoft Foundry.
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author: ivorb
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ms.author: berryivor
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ms.date: 02/24/2026
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ms.date: 03/20/2026
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ms.topic: unit
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ai-usage: ai-assisted
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durationInMinutes: 60
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durationInMinutes: 90
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content: |
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[!include[](includes/6-exercise.md)]
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Now, it's your chance to explore how to optimize the performance of a language model using Microsoft Foundry.
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Now, it's your chance to explore how to optimize the performance by fine-tuning a language model in Microsoft Foundry.
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> [!NOTE]
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> To complete this lab, you need an [Azure subscription](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) in which you have administrative access.
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Launch the exercise and follow the instructions.
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[![Button to launch exercise.](../media/launch-exercise.png)](https://go.microsoft.com/fwlink/?linkid=2354219&azure-portal=true)
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An additional optional lab is available to complete, walking through how to fine-tune a model with your own data. Training can take some time, but if you'd like experience with fine tuning, follow the instructions below.
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> [!NOTE]
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> Fine-tuning can take a significant amount of time.
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[![Button to launch exercise.](../media/launch-exercise.png)](https://go.microsoft.com/fwlink/?linkid=2354220&azure-portal=true)
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[![Button to launch exercise.](../media/launch-exercise.png)](https://go.microsoft.com/fwlink/?linkid=2354220&azure-portal=true)

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