Large Language User Interfaces: Voice Interactive User Interfaces powered by LLMs
CoRR(2024)
摘要
The recent meteoric advancements in large language models have showcased a
remarkable capacity for logical reasoning and comprehension. These newfound
capabilities have opened the door to a new generation of software, as has been
made obvious through the innumerable ways they are being applied in the
industry. This research focuses on harnessing and guiding the upgraded power of
LLMs to construct a framework that can serve as an intermediary between a user
and their user interface. By comprehending a user's needs through a thorough
analysis of natural textual inputs, an effectively crafted LLM engine can
classify the most likely available application, identify the desired UI
component and subsequently execute the user's expected actions. This
integration can evolve static UI systems into highly dynamic and adaptable
solutions, introducing a new frontier of intelligent and responsive user
experiences. Such a framework can fundamentally shift how users accomplish
daily tasks, skyrocket efficiency, and greatly reduce cognitive load.
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