From 471bb2f22dae40783905eda64264a2953c2d5863 Mon Sep 17 00:00:00 2001 From: Hiroshi Yoshioka <40815708+hyoshioka0128@users.noreply.github.com> Date: Mon, 27 May 2024 00:32:43 +0900 Subject: [PATCH] =?UTF-8?q?Update=20sample=5Ffigure=5Funderstanding.ipynb?= =?UTF-8?q?=20(Typo=20"Azure=20Open=20AI"=E2=86=92"Azure=20OpenAI")?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit https://github.com/microsoft/Form-Recognizer-Toolkit/blob/main/SampleCode/Python/sample_figure_understanding.ipynb #PingMSFTDocs --- SampleCode/Python/sample_figure_understanding.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/SampleCode/Python/sample_figure_understanding.ipynb b/SampleCode/Python/sample_figure_understanding.ipynb index 9adbec1..67d502b 100644 --- a/SampleCode/Python/sample_figure_understanding.ipynb +++ b/SampleCode/Python/sample_figure_understanding.ipynb @@ -6,7 +6,7 @@ "source": [ "# Figure understanding & hierarchical document structure analysis\n", "\n", - "This notebook demonstrates an example of using Azure AI Document Intelligence to ouptut detected figures and hierarchical document structure (in markdown). It will then crop the figures and send figure content (with its caption) to Azure Open AI GPT-4V model to understand the semantics. The figure description will be used to update the markdown output, which can be further used for [semantic chunking](https://aka.ms/doc-gen-ai).\n", + "This notebook demonstrates an example of using Azure AI Document Intelligence to ouptut detected figures and hierarchical document structure (in markdown). It will then crop the figures and send figure content (with its caption) to Azure OpenAI GPT-4V model to understand the semantics. The figure description will be used to update the markdown output, which can be further used for [semantic chunking](https://aka.ms/doc-gen-ai).\n", "\n", "![Advanced document insights with figure understanding and hierarchical document structure](../media/figure-understanding.png)" ]