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GPT-4 Turbo with Vision allows the model to take in images and answer questions about them
introduced a new feature that would allow s to edit DALL-E 3 generated images within ChatGPT.
The announcement was made by the official of OpenAI Developers, which said in an X (formerly known as Twitter) post, “GPT-4 Turbo with Vision is now generally available in the API. Vision requests can now also use JSON mode and function calling.” Later, the X of OpenAI also revealed that the feature is now available in API and it is being rolled out in ChatGPT.
GPT-4 Turbo with Vision is essentially the GPT-4 foundation model with the higher token outputs introduced with the Turbo model, and it now comes with improved computer vision to analyse multimedia files. The vision capabilities can be used in a variety of methods. The end , for instance, can use this capability by ing an image of the Taj Mahal on ChatGPT, and asking it to explain what material the building is made up of. Developers can take this a step ahead and fine-tune the capability in their tools for specific purposes.
OpenAI highlighted some of these use cases in the post. Cognition AI's Devin assistant, uses GPT-4 Turbo with Vision to see the complex coding tasks and its sandbox environment to create programmes.
Similarly, the Indian calorie tracking and nutrition platform Healthify has a feature called Snap where s can click a picture of a food item or a cuisine, and the platform reveals the possible calories in it. With GPT-4 Turbo with Vision's capabilities, it now also recommends what the should do to burn the extra calories or ways to reduce calories in the meal.
Notably, this AI model has a context window of 1,28,000 tokens and its training data runs up to December 2023.
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