Given two tasks A and $B,$ from the following, in which case does transfer learning $($from $A$ to $B)$ is recommended rather than learning from scratch?

When both the tasks have different inputs.

When you have a lot of data for task A than task $B.$

When you have a lot of data for task $B$ than task $A.$

When low level features from task B could be helpful for learning task $A.$