OpenAI has been at the forefront of the latest advancements in AI, with its highly competent models like GPT and DALLE. When released, GPT-3 was a one-of-its-kind model with great language processing capabilities such as text summarization, sentence completion, and many others. The release of its successor, GPT-4, marked a significant shift in how we interact with AI systems, offering multimodal abilities, i.e., having the power to process both text and images. To augment its functionalities further, OpenAI has recently released GPT-4V(ision), which allows users to leverage the GPT-4 model to analyze image inputs.
In recent times, there has been a rise in the development of multimodal LLMs that have the power to handle different types of data. GPT-4 is one such model that has demonstrated human-level benchmarks on numerous benchmarks. GPT-4V(ision) is built on top of the existing features of GPT-4 and offers visual analysis along with the existing text-interaction features. With a usage cap, the model can be accessed by subscribing to GPT-Plus. Additionally, one must join the waitlist for access through an API.
Key Features of GPT-4V(ision)
Some of the key capabilities of the model include:
- It can accept visual inputs from the user, such as screenshots, photographs, and documents, and perform a wide array of tasks.
- It can perform object detection and provide information about the different objects present in the image.
- Another striking feature is that it can analyze data represented in the form of charts, graphs, etc.
- Additionally, it is able to read and understand handwritten texts within an image.
Applications of GPT-4V(ision)
- Data interpretation is one of the most exciting applications of GPT-4V(ision). The model is capable of analyzing data visualizations and even providing key insights based on the same, thereby enhancing the capabilities of data professionals.
- The model is also capable of writing code for a website, given its design. This has the potential to speed up the process of web development drastically.
- ChatGPT has been widely used by content creators to help them with writer’s block and generate content quickly. However, the advent of GPT-4V(ision) takes things to an entirely different level. For example, first, we could use the model to create a prompt to generate an image from DALLE 3 and then use that image to write a blog.
The model can also help with multiple condition processing (such as analyzing parking conditions), deciphering texts in images, object detection (and tasks like object counting and scene understanding), etc. The applications of the model are not confined to the points mentioned above, and it can be applied to almost every domain.
Limitations of GPT-4V(ision)
Although the model is highly competent, it’s important to keep in mind that it is prone to errors and can occasionally produce incorrect information based on the image input. Therefore, overreliance should be avoided, and when dealing with data interpretations, a human should validate the results. Moreover, complex reasoning is a field where GPT-4 may face challenges, for example, a sudoku problem.
Privacy and bias are another set of major issues associated with using this model. The data provided by the user may be used to re-train the model. Like its predecessors, GPT-4 also reinforces social biases and perspectives. Therefore, considering the limitations, GPT-4V(ision) should be avoided when dealing with high-risk tasks such as scientific images and giving medical advice.
Conclusion
In conclusion, GPT-4V(ision) is a powerful multimodal LLM that has set a new benchmark for AI capabilities. With its ability to process both text and images, it opens up new possibilities for AI-powered applications. Although there are still a few limitations associated with it, OpenAI has been working to make the model safe for use, and we can use it to augment our analysis instead of relying on it completely.
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