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GPT-4 Vision API (+ DALL-E 3): Python Tutorial And Examples #gpt4v #gpt4vision #gpt4vapi
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GPT-4 Vision API is a groundbreaking tool for developers! Unlike its predecessors, GPT-4 with vision transcends the confines of text-only input, opening new possibilities for developers. In this tutorial, we'll delve into the exciting possibilities of building applications that can actually see, especially when coupled with the advanced capabilities of DALL-E 3.
By the end of this, you should be able to effortlessly integrate the GPT-4 Vision API into your projects. We cover the basics, including input methods (link or base64 encoding), handling multiple images and creating conversation threads. This quick, simple GPT-4V tutorial demonstrates the simplicity of querying the model.
Advanced Techniques:
Uploading Base64 Encoded Images
Take control of your locally stored images by encoding them in base64 format. Follow a detailed example, complete with Python SDK updates and a step-by-step guide on encoding and passing images directly in your requests.
🚀 Key Highlights:
- Setting up a Jupyter notebook for GPT Vision
- Installing essential dependencies, including OpenAI
- Exploring GPT-4 Vision API functionalities
- Demonstrating image interpretation from a URL using GPT-4 Vision's API
- Handling image uploads and chatting with multiple images using the GPT-4 Vision API
- Integrating DALL-E 3 for creative image generation
Useful links:
Embark on a journey of image understanding with GPT-4's visionary capabilities. Empower your projects with the fusion of language and vision, pushing the boundaries of what's possible in AI development. Unleash the potential of GPT-4 with Vision today!
#gpt4v #gpt4vision #gpt4vapi #gpt4visiontutorial #gpt4vtutorial
By the end of this, you should be able to effortlessly integrate the GPT-4 Vision API into your projects. We cover the basics, including input methods (link or base64 encoding), handling multiple images and creating conversation threads. This quick, simple GPT-4V tutorial demonstrates the simplicity of querying the model.
Advanced Techniques:
Uploading Base64 Encoded Images
Take control of your locally stored images by encoding them in base64 format. Follow a detailed example, complete with Python SDK updates and a step-by-step guide on encoding and passing images directly in your requests.
🚀 Key Highlights:
- Setting up a Jupyter notebook for GPT Vision
- Installing essential dependencies, including OpenAI
- Exploring GPT-4 Vision API functionalities
- Demonstrating image interpretation from a URL using GPT-4 Vision's API
- Handling image uploads and chatting with multiple images using the GPT-4 Vision API
- Integrating DALL-E 3 for creative image generation
Useful links:
Embark on a journey of image understanding with GPT-4's visionary capabilities. Empower your projects with the fusion of language and vision, pushing the boundaries of what's possible in AI development. Unleash the potential of GPT-4 with Vision today!
#gpt4v #gpt4vision #gpt4vapi #gpt4visiontutorial #gpt4vtutorial
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