Event box
GenAI Tutorials: An Introduction to Retrieval Augmented Generation (RAG) In-Person
- Date:
- Friday, October 18, 2024
- Time:
- 3:30pm - 5:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Bobst Library, 7th Floor, Rm. 743
- Location/Library:
- Bobst Library
As a part of NYU's commitment to global inclusion, our events and initiatives are open to individuals of all backgrounds and identities.
In this tutorial, users will learn about Retrieval Augmented Generation (RAG) and how it enhances AI models by combining external data retrieval with large language models (LLMs). They will explore the steps to build a RAG pipeline, including embedding text into vector representations, retrieving relevant context from databases, and augmenting prompts to generate accurate answers. The tutorial provides practical insights into when to use RAG over fine-tuning models and how to integrate this approach in building dynamic, context-aware AI solutions.
For additional information, see Retrieval Augmented Generation (RAG) page.
Prerequisites: basic understanding of python
