Question Answering Research - Ep. 4 - Retrieval Augmented Generation (RAG)

Weekly Research Group, July 15th, 2021

The Google Doc is available here: Research Journal - Question Answering - Google Docs

This week, Nick walked us through more of the details of the RAG architecture, looking at both the RAG-Sequence and RAG-Token variants. He also demonstrated some example code which shows how to apply RAG to your own dataset–the example answers some questions about Game of Thrones :slight_smile:

Next week, I’ll walk us through some example code for applying BERT to an AirBnb pricing dataset (containing text, numerical, and categorical features) using the concatenation approach for combining the features. Sign up here:

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