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How Apple Suggests Using Artificial Intelligence

Haebom
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I touched on this topic in a previous post as well, but I believe the current way we use artificial intelligence is in a transitional phase. I'm studying and listening to many people's opinions, thinking there must be a better way. Recently, Apple published an interesting paper, so I brought it here.
Ferret-UI- Grounded Mobile UI Understanding with Multimodal LLMs.pdf1.08MB
This time, Ferret-UI is a new approach based on a multimodal large language model (MLLM) that can better understand public mobile UI screens and, following natural language instructions, reference or pinpoint specific UI elements. Simply put, it helps understand what the user is seeing right now and predicts their behavior to help them make better choices.
Overcoming UI complexity: Modern mobile apps are built with diverse and complex UIs, and users need to obtain information or execute commands through them. Ferret-UI understands such complicated UI structures and helps accurately identify the right UI elements based on user instructions.
Enhancing accessibility: Ferret-UI can greatly improve UI accessibility by leveraging visual understanding. This especially makes it easier for users with visual impairments to use apps comfortably.
Streamlining multi-step UI navigation: When users perform complex tasks within an app, Ferret-UI supports them by accurately identifying and pointing out the necessary UI elements. This lets users achieve their goals more efficiently.
Apple's Ferret-UI technology takes an innovative approach by leveraging multimodal large-scale language models to maximize mobile UI understanding and, in turn, enhance user experience. I think this is a solid approach in several respects—tackling app complexity, improving accessibility, and making the app development process more efficient.
Still, there are ongoing concerns about privacy and security risks, and whether it might end up like those incomplete auto-complete features. In Apple's case, rather than disclosing the model itself or making preemptive moves in AI, it seems they're aiming for a practical approach—smoothly integrating it into iOS and MacOS, which they have always excelled at.
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