AI 6630 - Generative AI

3 Semester Hour(s)

Techniques of text processing and working with unstructured data, comparing textual passages, mining data from disparate sources, combining unstructured and structured data to sharpen understanding for predictions and to resolve apparent conflicts in sentiment. Large Language Models to include techniques such as LangChain and similar frameworks. Covers Generative Question-Answering (GOA) and Generative Pre-trained Transformers (GPT). A continued study of deep learning extending to transformers, attention blocks, and the LLM framework. Will include lab work in NLP and structured/unstructured data exercises including examples such as web scraping, customer qualitative and quantitative surveys, buyer sentiment analysis, deploying GPTs, and LLMs.

Prerequisite(s): AI 6640