Comparing the performances of GPTs with deep learning in the field of binary files and their related reports
Regarding the case study of a dataset including binary files (containing assembly code) and reports related to each file (the content of the static analysis of the file as well as the analysis of the dynamic functionality of the file, with a specific format), can it be generally claimed that the learning on this dataset with the use of GPTs will be more effective than training by other deep learning methods? What exactly should be considered for this comparison?s