CS 224V Conversational Virtual Assistants with Deep Learning by Stanford University

Generative AI, and in particular Large Language Models (LLMs), has the potential of assisting knowledge workers, scholars, and researchers in all areas from journalism, history, education, law, medicine, science, and engineering.

This course will focus on the general principles and the latest research on methodologies and tools that can be applied to all domains.

This is a project-oriented course, where students will gain hands-on experience in either methodology research or applying the concepts to create useful assistants for a domain of their choice.

Topics include:
- How to do RAG (retrieval augmented generation) without hallucination?
- How to retrieve information from databases and knowledge graphs using natural language?
- How to perform literature search and write long review articles?
- How to create a non-hallucinating task agent?
- How to answer questions on sets of long documents?
- How to extract a knowledge graph from a large set of documents?
- How to improve reasoning using Satisfiability Modulo Theories (SMT)?
- How to perform complext tasks reliably using the concept of computational thinking?

Link: Course

Navigational hashtags: #armknowledgesharing #armcourses
General hashtags: #llm #genai #rag