GPT-4 Turbo is known for its ability to generate human-quality text, translate languages, write creative content, and answer your questions. Its advanced architecture and extensive training data empower it to perform tasks with exceptional accuracy and nuance.
Beyond its text-based capabilities, GPT-4 Turbo has vision capabilities, marking a significant leap in AI development. This integration allows the model to process and understand visual information, such as images and videos, opening up new horizons for AI applications.
Understanding GPT-4 Turbo with Vision
A multimodal model is a type of artificial intelligence that can process and understand multiple forms of data, such as text, images, and audio. Unlike traditional models that work on a single data type, multimodal models excel at tasks that require combining information from different sources. This ability allows them to perform more complex and human-like tasks.
GPT-4 Turbo with Vision is a prime example of a multimodal model. It builds upon the strengths of the GPT-4 Turbo language model by incorporating the ability to process and understand visual information. When presented with an image or video, the model breaks into features and patterns, similar to how humans perceive visual data. This information is then combined with its language understanding capabilities to generate comprehensive and informative outputs.
Multimodal models like GPT-4 Turbo with Vision offer several advantages over traditional text-only models:
This leads to more accurate and informative results
Used for tasks like image captioning, visual question answering, and video analysis.
Create an engaging and interactive user experience.
Here are some exciting features:
Optical Character Recognition (OCR):
GPT-4 Turbo with Vision can extract text from images. You can provide an image containing text, and the model will recognize and interpret it.
Use cases include digitizing printed documents, extracting information from images, and enhancing accessibility.
Object Grounding:
Object grounding refers to identifying and localizing objects within an image.
With GPT-4 Turbo and Azure AI Studio, you can ask questions about specific objects in an image, and the model will provide relevant answers.
Video Prompts:
GPT-4 Turbo with Vision can process video frames.
You can use video prompts to ask questions related to specific moments in a video, and the model will analyze the frames to generate accurate responses.
Step-by-Step Guide to Transform Your Images and Videos using GPT-4 Turbo with Vision in Azure AI Studio
STEP 1: Create Azure OpenAI Resource
Login to your Azure account and navigate to Azure Portal. Click on the "+ Create resource" button. Enter the following information:
Subscription
Resource group
Region
Name
Pricing Tier
Now click "Create" to create the Azure OpenAI resource.
Check whether your resource is in a supported or global standard region where the model is available.
STEP 2: Deploy the Model
After creating the resource, navigate to the Azure AI studio. In the left panel, click "AI services". Select the "Try out GPT-4 Turbo" panel.
Click "Deploy" to deploy the GPT-4 model, and specify the desired model version and deployment type.
Enter the following information:
Deployment Name
Select a Model
Model Version
Deployment Type
Click "Deploy" to initiate the deployment process.
STEP 3: Describe an Image using AI Assistant
Once the deployment is complete, navigate to the OpenAI playground. In the System message, type "You're an AI assistant that helps people find information" and click "Apply changes".
Click on the attachment button and then upload the image. In the Chat field, type "Describe this image", and then select the right arrow icon to send.
The AI assistant replies with a description of the image.
STEP 4: Describe a video using the AI assistant
In the chat session area, locate the attachment button and click it. Select the video file you want to describe from your device and upload it.
Type the prompt "Provide details about this video" into the chat box. Click the right arrow icon (or equivalent send button) to submit your request. The AI assistant will process the video and generate a detailed description.
Conclusion
Azure AI Studio provides a platform to harness the power of GPT-4 Turbo with Vision. However, it's important to note that using this advanced functionality may incur additional costs beyond standard Azure OpenAI usage fees. It's essential to carefully consider your project requirements and budget when utilizing GPT-4 Turbo with Vision.
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