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## Machine learning and AI
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Besides data processing, Azure Functions can be used to infer on models.
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Besides data processing, Azure Functions can be used to infer on models. The [Azure OpenAI binding extension](./functions-bindings-openai.md) lets easily integrate features and behaviors of the [Azure OpenAI service](../ai-services/openai/overview.md) into your function code executions.
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For example, a function that calls a TensorFlow model or submits it to Azure AI services can process and classify a stream of images.
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Functions can connect to an OpenAI resources to enable text and chat completions, use assistants, and leverage embeddings and semantic search.
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Functions can also connect to other services to help process data and perform other AI-related tasks, like [text summarization](https://github.com/Azure-Samples/function-csharp-ai-textsummarize).
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A function might also call a TensorFlow model or Azure AI services to process and classify a stream of images.
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[](./media/functions-scenarios/machine-learning-and-ai-expanded.png#lightbox)
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::: zone pivot="programming-language-csharp"
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+ Tutorial: [Text completion using Azure OpenAI](functions-add-openai-text-completion.md?pivots=programming-language-csharp)
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+ Sample: [Text summarization using AI Cognitive Language Service](https://github.com/Azure-Samples/function-csharp-ai-textsummarize)
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+ Sample: [Text completion using Azure OpenAI](https://github.com/Azure/azure-functions-openai-extension/tree/main/samples/textcompletion/csharp-ooproc)
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+ Sample: [Provide assistant skills to your model](https://github.com/Azure/azure-functions-openai-extension/tree/main/samples/assistant/csharp-ooproc)
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