  This article presents a vision for the future of prosthetic devices,
leveraging the advancements in large language models (LLMs) and Large
Multimodal Models (LMMs) to revolutionize the interaction between humans and
assistive technologies. Unlike traditional prostheses, which rely on limited
and predefined commands, this approach aims to develop intelligent prostheses
that understand and respond to users' needs through natural language and
multimodal inputs. The realization of this vision involves developing a control
system capable of understanding and translating a wide array of natural
language and multimodal inputs into actionable commands for prosthetic devices.
This includes the creation of models that can extract and interpret features
from both textual and multimodal data, ensuring devices not only follow user
commands but also respond intelligently to the environment and user intent,
thus marking a significant leap forward in prosthetic technology.
