issue for them to sum this up RNs are good for processing sequence data for predictions but suffer from short-term memory the short-term memory issue for vanilla arm ends doesn't mean to skip them completely and you still more involved versions like LST MS or gr use RNs have the benefit of training faster and uses less computational resources that's because there are less tensor operations to compute you could use LST MS or gr use when you expect a model longer sequences with long-term dependencies if you're interested in