Summarizing Books with Human Feedback

GPT-3 powered book summarization

About Summarizing Books with Human Feedback

OpenAI trained the model on a subset of the books in GPT-3’s training dataset that were mostly of the fiction variety and contained over 100,000 words on average. Its new model, a fine-tuned version of GPT-3, can summarize books like Alice in Wonderland.

OpenAI is far from the first to apply AI to the problem of summarization. Startups like Primer use machine learning techniques to help parse and collate a large number of documents across several languages. Google has investigated summarization methods that can generate abstract summaries of paragraphs — as has Microsoft. And Facebook is reportedly developing an AI tool that summarizes news articles so users don’t have to read them.


Summarizing Books with Human Feedback screenshots

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