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articles/ai-studio/how-to/generate-data-qa.md

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## Install the Synthetics Package
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```shell
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python --version # ensure you've >=3.8
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python --version # use version 3.8 or later
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pip3 install azure-identity azure-ai-generative
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pip3 install wikipedia langchain nltk unstructured
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```

articles/ai-studio/tutorials/deploy-copilot-ai-studio.md

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1. Select a model to use for evaluation. In this example, select **gpt-35-turbo-16k**. Then select **Next**.
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> [!NOTE]
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> Evaluation with AI-assisted metrics needs to call another GPT model to do the calculation. For best performance, use a GPT-4 or gpt-35-turbo-16k model. If you didn't previously deploy a GPT-4 or gpt-35-turbo-16k model, you can deploy another model by following the steps in [Deploy a chat model](#deploy-a-chat-model). Then return to this step and select the model you deployed.
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> The evaluation process may take up lots of tokens, so it's recommended to use a model which can support >=16k tokens.
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> Evaluation with AI-assisted metrics needs to call another GPT model to do the calculation. For best performance, use a model that supports at least 16k tokens such as gpt-4-32k or gpt-35-turbo-16k model. If you didn't previously deploy such a model, you can deploy another model by following the steps in [Deploy a chat model](#deploy-a-chat-model). Then return to this step and select the model you deployed.
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1. Select **Add new dataset**. Then select **Next**.
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