Multi-modality with GPT-4 Turbo with Vision in Azure OpenAI

Overview

GPT-4 Turbo with Vision is a powerful model by OpenAI that can look at images and answer questions about them using text. It combines language understanding and visual processing.

In this article, we will explore GPT-4 Turbo with Vision model capabilities, use cases, and adding your own data.

OpenAI GPT-4 Turbo with Vision

GPT-4 Turbo with Vision is a multi-modal model large language model (LLM) designed to process both text and image inputs to generate text outputs. This powerful model leverages the capabilities of OpenAI’s GPT-4 architecture, integrating advanced vision features to enhance data analysis, customer interactions, and automation processes. It aims to streamline operations across various industries, from retail to healthcare, by enabling applications to understand and interpret visual data alongside text.

Key Features in Azure AI Studio

1. Image Analysis:
   • Object Detection: Automatically detects and labels objects within images, enabling applications to recognize and categorize visual elements.
   • Image Tagging and Categorization: Assigns tags to images based on their content and categorizes them accordingly.
   • Scene and Activity Recognition: Identifies the context and activities occurring within an image.
2. Optical Character Recognition (OCR):
   • Text Extraction: Extracts printed or handwritten text from images and documents, converting them into machine-readable text.
   • Form Recognition: Identifies and processes text in structured forms, enhancing document digitization processes.
3. Face Recognition:
   • Face Detection: Detects human faces within images and provides information about their attributes, such as age, gender, and emotions.
   • Face Identification: Matches detected faces against a database of known individuals.
4. Spatial Analysis:
   • People Counting and Tracking: Analyzes video feeds to count and track the movement of people in a defined space, useful for security and business analytics.
5. Landmark and Celebrity Recognition:
   • Landmark Identification: Recognizes famous landmarks and provides information about them.
   • Celebrity Recognition: Identifies well-known public figures within images.

Deployment

Deploying the GPT-4 Turbo with Vision model on Azure is a straightforward process. The general availability of this model is currently limited to the limited regions.

To deploy the model:

1. Create an Azure OpenAI resource in the West US region.

2. Choose the “GPT-4” model and select the “vision-preview” version from the dropdown menu to deploy the model.

   

Test 1: Explain the image

Click the attachment icon to upload an image. In this case, I have uploaded one image from the Khan academy tutorial which includes hand-written and typed text to calculate are of triangle.

Here is another example on how GPT-4v can help to describe or explain the image.

Test 2: List the objects from image

I carried another test to list the logos from the uploaded image. (Image source: Frontify)

Use Cases

The GPT-4 Turbo with Vision model can be used across wide range of applications across different industries:

1. Retail: Enhancing online shopping experiences by interpreting product images and providing detailed descriptions.
2. Healthcare: Analyzing medical images to assist in diagnostics and treatment planning.
3. Finance: Extracting information from financial documents and generating comprehensive reports.
4. Media and Entertainment: Managing digital assets by categorizing and tagging images and videos.

Example: Healthcare Application

In the healthcare sector, GPT-4 Turbo with Vision can be used to analyze X-ray images. By integrating this capability into a medical application, doctors can receive detailed descriptions and potential diagnoses, aiding in quicker and more accurate decision-making.

Summary

Azure OpenAI’s GPT-4 Turbo with Vision model represents a significant advancement in AI capabilities, merging text and vision processing into a single, powerful model. Its applications span multiple industries, offering improved efficiency, accuracy, and innovation. Deployment is user-friendly, and the ability to add custom data ensures that the model can be tailored to meet specific business needs. As AI technology continues to evolve, GPT-4 Turbo with Vision is poised to play a critical role in transforming how organizations leverage AI to process and interpret complex data.

References

• Use GPT-4 Turbo with Vision
• GPT-4 Turbo with Vision concepts
• GPT-4 Turbo with Vision quickstart