separate the sentences so you can want to help it and the last thing is positional embeddings and we've also already talked about these in attention is all you need this is where you can kind of the model since it's a transformer it doesn't go step by step it doesn't go one of them so it's kind of hard for the model to make that how far things are apart from each other how far to tokens if they're neighbors or if they're really far apart and these positional embeddings kind of help the model I decide if two tokens are close