On a new San Antonio GTFS benchmark, GPT-4 and GPT-3.5-turbo score between 48% and 98% accuracy on understanding tasks and 60% to 90% on information retrieval, with errors concentrated in ambiguous and multi-file questions.
Simulated quantum mechanics-based joint learning network for stroke lesion segmentation and tici grading,
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Exploring the Potential of Large Language Models in Public Transportation: San Antonio Case Study
On a new San Antonio GTFS benchmark, GPT-4 and GPT-3.5-turbo score between 48% and 98% accuracy on understanding tasks and 60% to 90% on information retrieval, with errors concentrated in ambiguous and multi-file questions.