Refine README descriptions for document extraction samples

Author: jamesmcroft

README.md

@@ -66,8 +66,8 @@ The techniques demonstrated take advantage of various capabilities from each ser
 | Sample                                                                                               | Link                                                                                                                                                                                           | Description                                                                                                                            | Example Use Cases                                                                                                                     |
 | ---------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
 | Text-based Extraction with Azure AI Document Intelligence and Azure OpenAI GPT-4o                    | [Python](./samples/python/extraction/text/document-extraction-gpt.ipynb) \| [.NET](./samples/dotnet/extraction/text/document-extraction-gpt.ipynb)                                             | Use Azure AI Document Intelligence `prebuilt-layout` and Azure OpenAI GPT models to extract structured data from documents using text. | Predominantly text-based documents such as invoices, receipts, and forms.                                                             |
-| Text-based Extraction with Azure AI Document Intelligence and Microsoft Phi-4                        | [Python](./samples/python/extraction/text/document-extraction-phi.ipynb) \| [.NET](./samples/dotnet/extraction/text/document-extraction-phi.ipynb)                                             | Use Azure AI Document Intelligence `prebuilt-layout` and Microsoft's Phi models to extract structured data from documents using text.  | Predominantly text-based documents such as invoices, receipts, and forms.                                                             |
-| Vision-based Extraction with Azure OpenAI GPT-4o                                                     | [Python](./samples/python/extraction/vision/document-extraction-gpt-vision.ipynb) \| [.NET](./samples/dotnet/extraction/vision/document-extraction-gpt-vision.ipynb)                           | Use Azure OpenAI GPT-4o models to extract structured data from documents using vision capabilities.                                    | Complex documents with a mix of text and images, including diagrams, signatures, selection marks, etc. such as reports and contracts. |
+| Text-based Extraction with Azure AI Document Intelligence and Microsoft Phi                          | [Python](./samples/python/extraction/text/document-extraction-phi.ipynb) \| [.NET](./samples/dotnet/extraction/text/document-extraction-phi.ipynb)                                             | Use Azure AI Document Intelligence `prebuilt-layout` and Microsoft's Phi models to extract structured data from documents using text.  | Predominantly text-based documents such as invoices, receipts, and forms.                                                             |
+| Vision-based Extraction with Azure OpenAI GPT-4o GPT-4o                                              | [Python](./samples/python/extraction/vision/document-extraction-gpt-vision.ipynb) \| [.NET](./samples/dotnet/extraction/vision/document-extraction-gpt-vision.ipynb)                           | Use Azure OpenAI GPT-4o models to extract structured data from documents using vision capabilities.                                    | Complex documents with a mix of text and images, including diagrams, signatures, selection marks, etc. such as reports and contracts. |
 | Multi-Modal (Text and Vision) Extraction with Azure AI Document Intelligence and Azure OpenAI GPT-4o | [Python](./samples/python/extraction/multimodal/document-extraction-gpt-text-and-vision.ipynb) \| [.NET](./samples/dotnet/extraction/multimodal/document-extraction-gpt-text-and-vision.ipynb) | Improve the accuracy and confidence in extracting structured data from documents by combining text and images with LLMs.               | Any structured or unstructured document type.                                                                                         |
 
 ## Getting Started

samples/dotnet/extraction/README.md

@@ -9,5 +9,5 @@ This folder contains samples that demonstrate how to extract structured data fro
 | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
 | [Text-based Extraction with Azure AI Document Intelligence and Azure OpenAI GPT-4o](./text/document-extraction-gpt.ipynb)                                          | Use Azure AI Document Intelligence `prebuilt-layout` and Azure OpenAI GPT models to extract structured data from documents using text. | Predominantly text-based documents such as invoices, receipts, and forms.                                                             |
 | [Text-based Extraction with Azure AI Document Intelligence and Microsoft Phi](./text/document-extraction-phi.ipynb)                                                | Use Azure AI Document Intelligence `prebuilt-layout` and Microsoft's Phi models to extract structured data from documents using text.  | Predominantly text-based documents such as invoices, receipts, and forms.                                                             |
-| [Vision-based Extraction with Azure OpenAI](./vision/document-extraction-gpt-vision.ipynb)                                                                         | Use Azure OpenAI GPT-4o models to extract structured data from documents using vision capabilities.                                    | Complex documents with a mix of text and images, including diagrams, signatures, selection marks, etc. such as reports and contracts. |
+| [Vision-based Extraction with Azure OpenAI GPT-4o](./vision/document-extraction-gpt-vision.ipynb)                                                                  | Use Azure OpenAI GPT-4o models to extract structured data from documents using vision capabilities.                                    | Complex documents with a mix of text and images, including diagrams, signatures, selection marks, etc. such as reports and contracts. |
 | [Multi-Modal (Text and Vision) Extraction with Azure AI Document Intelligence and Azure OpenAI GPT-4o](./multimodal/document-extraction-gpt-text-and-vision.ipynb) | Improve the accuracy and confidence in extracting structured data from documents by combining text and images with LLMs.               | Any structured or unstructured document type.                                                                                         |

samples/python/extraction/README.md

@@ -9,5 +9,5 @@ This folder contains samples that demonstrate how to extract structured data fro
 | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
 | [Text-based Extraction with Azure AI Document Intelligence and Azure OpenAI GPT-4o](./text/document-extraction-gpt.ipynb)                                          | Use Azure AI Document Intelligence `prebuilt-layout` and Azure OpenAI GPT models to extract structured data from documents using text. | Predominantly text-based documents such as invoices, receipts, and forms.                                                             |
 | [Text-based Extraction with Azure AI Document Intelligence and Microsoft Phi](./text/document-extraction-phi.ipynb)                                                | Use Azure AI Document Intelligence `prebuilt-layout` and Microsoft's Phi models to extract structured data from documents using text.  | Predominantly text-based documents such as invoices, receipts, and forms.                                                             |
-| [Vision-based Extraction with Azure OpenAI](./vision/document-extraction-gpt-vision.ipynb)                                                                         | Use Azure OpenAI GPT-4o models to extract structured data from documents using vision capabilities.                                    | Complex documents with a mix of text and images, including diagrams, signatures, selection marks, etc. such as reports and contracts. |
+| [Vision-based Extraction with Azure OpenAI GPT-4o](./vision/document-extraction-gpt-vision.ipynb)                                                                  | Use Azure OpenAI GPT-4o models to extract structured data from documents using vision capabilities.                                    | Complex documents with a mix of text and images, including diagrams, signatures, selection marks, etc. such as reports and contracts. |
 | [Multi-Modal (Text and Vision) Extraction with Azure AI Document Intelligence and Azure OpenAI GPT-4o](./multimodal/document-extraction-gpt-text-and-vision.ipynb) | Improve the accuracy and confidence in extracting structured data from documents by combining text and images with LLMs.               | Any structured or unstructured document type.                                                                                         |