A custom GPT-4-turbo configuration classifies and segments fruit-picking motion time series into primitive actions, but per-segment accuracy stays between 14% and 44% depending on prompting and feedback.
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On the capabilities of LLMs for classifying and segmenting time series of fruit picking motions into primitive actions
A custom GPT-4-turbo configuration classifies and segments fruit-picking motion time series into primitive actions, but per-segment accuracy stays between 14% and 44% depending on prompting and feedback.