HomeWinBuzzer NewsGPT-4 Turbo with Vision Now Available: Transforming Visual Data Processing

GPT-4 Turbo with Vision Now Available: Transforming Visual Data Processing

OpenAI launched GPT-4V, combining GPT-4's power with image processing. It offers features like JSON mode for easier development and can analyze images


has officially launched GPT-4 Turbo with Vision (GPT-4V), marking an advancement for its artificial intelligence large . This new version enhances the capabilities of GPT-4 Turbo by integrating Vision, thereby enabling the processing of visual data alongside text. This development could revolutionize how developers work with AI, particularly in applications requiring the analysis of images.

Enhanced Features for Developers

GPT-4V introduces several key features designed to streamline the development process. Notably, it supports JSON mode and function calling, facilitating easier integration with existing codebases. The model maintains the impressive 128,000 tokens in the context window of its predecessor, Turbo, allowing for extensive data processing in a single request. Developers can now input images either through direct links or by passing base64 encoded images, expanding the model's utility in various applications.

One of the standout aspects of GPT-4V is its ability to interpret and analyze images. While it can identify objects within an image, it is important to note some limitations. For instance, the model may struggle with determining the precise location or color of specific items within the visual field. This limitation underscores the current state of AI's understanding of complex visual contexts, a challenge that continues to be an area of active research and development.

Practical Applications and Limitations

The introduction of GPT-4V opens up a plethora of possibilities for developers. From creating more interactive and responsive applications to enhancing data analysis tools, the potential use cases are vast. However, OpenAI has cautioned against using GPT-4V for processing medical images, such as CT scans, indicating that the model is not yet suited for such specialized tasks.

Moreover, OpenAI provides guidance on managing token costs associated with processing images. For example, a detailed analysis of a 1024 x 1024 square image would consume approximately 765 tokens, highlighting the need for developers to consider the computational and financial implications of their projects.

Google Debuts Imagen 2

OpenAI's expansion of GPT-4 Turbo's image capabilities, Google is launching its Imagen 2 AI image model. This tool is now available on Google's Vertex AI developer platform, marking a significant step forward in the realm of AI-driven content creation. Among the notable features of Imagen 2 are inpainting and outpainting, which respectively allow for the removal of unwanted parts of an image and the addition of new elements or expansion of an image's borders. However, the highlight of the update is the “text-to-live images” feature, which enables the creation of video clips from text prompts. 

Luke Jones
Luke Jones
Luke has been writing about all things tech for more than five years. He is following Microsoft closely to bring you the latest news about Windows, Office, Azure, Skype, HoloLens and all the rest of their products.