OpenAI’s GPT-4 Turbo Vision API is a game-changer in the world of AI development. This large multimodal model combines natural language processing and visual understanding, allowing it to analyze images and provide textual responses to questions about them1.+
2023 has seen an unrelenting surge in the release of various GPT clones and wrappers—each with its own unique twist. From straightforward tools to those boasting exceptional user experiences, to systems enhanced by ingenious prompt engineering, vector databases, and multi-agent frameworks, the innovation is ceaseless. What ties all these diverse offerings together is their foundation on one of the most captivating development trends of the last decade: applications of large language models (LLMs).
Among the most recent advancements in this dynamic field is the enhanced capability of OpenAI’s API, which now processes images in addition to its established functions of generating and editing them. Thanks to recent updates, this feature is readily accessible, ushering in an era where developers and users alike can engage in text conversations enriched with multi-modal inputs like images and videos. Today, we’ll delve into the intriguing world of image uploading and interactive discussions. Stay tuned for a future piece where we’ll unpack the potentials and boundaries of video-based conversations.
Key Features of GPT-4 Turbo Vision API
GPT-4 Turbo Vision API offers several enhancements to improve its functionality. One of these is object grounding, which uses Azure AI Vision to identify and locate objects in the input images. This allows the model to give more accurate and detailed responses about the image contents.
Another enhancement is optical character recognition (OCR), which provides high-quality OCR results for images with dense text1. It improves the model’s ability to recognize text in various languages.
The video prompt enhancement enables the use of video clips as input for AI chat1. It utilizes Azure AI Vision Video Retrieval to sample frames from the video and create a transcript of the speech. This allows the model to generate summaries and answers about video content.
Pricing and Limitations
Pricing for GPT-4 Turbo with Vision includes a base rate for input and output tokens1. If enhancements are enabled, additional charges apply for using Azure AI Vision functionality. The pricing details are subject to change.
There are some limitations to consider. For image support, enhancements can only be applied to one image per chat session, and the maximum input image size is 20 MB. In video support, frames are analyzed in low resolution, which may affect small object and text recognition accuracy.
Healthyfyme Snap: Revolutionizing Nutrition Tracking
Healthyfyme Snap is an innovative product that uses AI to provide instant nutritional details and smart, AI-driven advice2. By simply snapping a photo of your meal, Snap identifies all the foods in your photo and tracks it for you instantly2.
This feature not only makes calorie tracking easier but also provides actionable insights to help you improve your nutrition2. With the integration of GPT-4 Turbo Vision API, the possibilities for enhancing this feature are endless.
Conclusion
The GPT-4 Turbo Vision API and Healthyfyme Snap are excellent examples of how AI is revolutionizing various fields. By combining language processing and visual understanding, these tools provide valuable insights and make tasks like calorie tracking easier and more accurate.
What other applications can you envision for the GPT-4 Turbo Vision API?
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References
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/gpt-with-vision