Natural Language Processing

Course Description

Natural language processing (NLP) refers to the branch of computer science, more specifically, the branch of artificial intelligence or AI concerned with giving computers the ability to understand text and spoken words as human beings can.

Syllabus

• Text Processing basics + Empirical laws

• Language Modeling + Smoothing

• Parts of Speech Tagging

• Syntax, Dependency Parsing

• Distributional Semantics, Word Embeddings

• Introduction to Neural Networks

• Seq2Seq models, RNNs, LSTMs

• Introduction to attention mechanism, Transformers

• Large-scale pre-training and related models (BERT, GPT)

• Prompting, Debugging

• Agentic AI