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{"role": "user", "content": "First question/message for the model to actually respond to."}
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```
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@@ -180,7 +180,7 @@ This is only one example of how you can use few shot learning with ChatGPT and G
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{"role": "user", "content": "When do I need to file my taxes by?"},
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{"role": "assistant", "content": "In 2023, you will need to file your taxes by April 18th. The date falls after the usual April 15th deadline because April 15th falls on a Saturday in 2023. For more details, see https://www.irs.gov/filing/individuals/when-to-file."},
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{"role": "user", "content": "How can I check the status of my tax refund?"},
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{"role": "assistant", "content": "You can check the status of your tax refund by visiting https://www.irs.gov/refunds"},
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{"role": "assistant", "content": "You can check the status of your tax refund by visiting https://www.irs.gov/refunds"}
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```
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#### Using Chat Completion for non-chat scenarios
@@ -300,4 +300,4 @@ The token counting portion of the code demonstrated previously, is a simplified
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*[Learn more about Azure OpenAI](../overview.md).
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* Get started with the ChatGPT model with [the ChatGPT quickstart](../chatgpt-quickstart.md).
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* For more examples, check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure/openai-samples)
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* For more examples, check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure/openai-samples)
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