Speaker: Arvind Neelakantan, Research Lead at OpenAI

In this talk, Arvind will discuss augmenting GPT models with retrievers. Retrievers search for relevant information that is then added to the context of GPT models. This procedure helps with factual generation improving the reliability of text generation. The same procedure also enables a way to leverage labeled training data without fine-tuning providing an autoML solution that is easy to configure, and adapt to changing label schema.