1. I picked DialoGPT, BERT, and T5 to train because they were open source models. They also represent each category of the three major types of models that most Transformer-based models fall into (encoder only, decoder only, encoder-decoder).

2. It was not difficult in terms of putting the code together, however it was very computationally heavy and expensive to train these models. They also took a lot of time (> 20 hours on average).

3. They could answer some complex questions in the medical realm, some times I was surprised by some of the answers. However, because my model is not trained on the most current diseases, they could not answer questions on CoVid-19 for example.

If you have any more questions, please do not hesitate to contact me by email or Instagram. Thank you for the thoughtful questions!