4 ms·
Option 4: One could take an pretrained model like llama, train it on only a few thousands of compiled and decompiled programs, then feed it compiled programs a
by Eisenstein 3y ago
Option 4:
One could take an pretrained model like llama, train it on only a few thousands of compiled and decompiled programs, then feed it compiled programs and have it decompile them and evaluate that output to make a new dataset and fine tune it again. Repeat until satisfactory.