[MAI554 - Lecture 1] Introduction to Deep Learning for Language Modeling

This lecture provides an introduction to deep learning for language modeling, covering foundational concepts from perceptrons to fully connected networks, RNNs, and LSTMs. It explores their limitations and the evolution leading to transformers. A historical overview highlights the key architectures, emphasizing their roles and advancements in language modeling, culminating in the transformative impact of modern deep learning approaches.