Long Ouyang | DeepAI

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∙ 06/12/2022

Self-critiquing models for assisting human evaluators

We fine-tune large language models to write natural language critiques (...

8 William Saunders, et al. ∙

∙ 03/04/2022

Training language models to follow instructions with human feedback

Making language models bigger does not inherently make them better at fo...

1 Long Ouyang, et al. ∙

∙ 12/17/2021

WebGPT: Browser-assisted question-answering with human feedback

We fine-tune GPT-3 to answer long-form questions using a text-based web-...

0 Reiichiro Nakano, et al. ∙

∙ 09/22/2021

Recursively Summarizing Books with Human Feedback

A major challenge for scaling machine learning is training models to per...

0 Jeff Wu, et al. ∙

∙ 09/02/2020

Learning to summarize from human feedback

As language models become more powerful, training and evaluation are inc...

68 Nisan Stiennon, et al. ∙

∙ 05/22/2018

Bayesian Inference of Regular Expressions from Human-Generated Example Strings

In programming by example, users "write" programs by generating a small ...

0 Long Ouyang, et al. ∙

∙ 11/26/2017

Pedagogical learning

A common assumption in machine learning is that training data are i.i.d....

0 Long Ouyang, et al. ∙

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