OpenAI Threw Resources at Book Summarization Task (Paper Review/Explained)

Author(s): Ala Alam Falaki

Originally published on Towards AI.

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Explain the “Recursively Summarizing Books with Human Feedback” paper and its effectiveness.

Photo by Mikołaj on Unsplash

You might be familiar with OpenAI’s GPT family models and their third-generation (GPT-3) with 174 billion parameters pre-trained network. They are known to publish large pre-trained models compared to other studies (at the time). Their latest paper focused on fine-tuning their latest model for text summarization. Let’s see how it works, and more importantly, does it work?

Figure 1. Taken from [1]

This paper [1] heavily cites one of OpenAI’s previous studies called “Learning to summarize… Read the full blog for free on Medium.

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Published via Towards AI