Artificial Intelligence Language Understanding

Catalog description

The central focus of the course is to enable robust and effective human-computer interaction between humans and machines without supervision. To infer intent and deal with human language ambiguities in in text and speech, the course combines advanced concepts of Natural Language Processing, Neural Networks and Deep learning. Using core NLP technologies, the course takes an experimental approach to develop prototypes of Page 91 Catalog 2025 - 2026 chat and speech enabled intelligent agents that can effectively interact with the public without supervision. Three credits; one-hour laboratory. A pre requisite of AI 233 is required.