This project explores language modeling using LSTM-based architectures trained on the WikiText-2 dataset. Two models are implemented: a standard LSTM language model and an advanced AWD-LSTM variant with regularization techniques such as weight dropout and locked dropout. Given a text prompt, both models generate coherent sentence continuations.
Example output:
Prompt → "I'm not in danger, I am the"
Model → "the best of any game."
