
Explore how Tensor Networks enhance explainability and controllability of Large Language Models, focusing on transformer self-attention and multi-layer perceptron layer modifications.

Delve into the mathematical foundations of how transformer models learn and encode causal relationships through self-attention mechanisms and gradient-based training algorithms.