Improving alignment of dialogue agents via targeted human judgements

We present Sparrow, an information-seeking dialogue agent trained to be more helpful, correct, and harmless compared to prompted language model baselines. We use reinforcement learning from human feedback to train our models with two new additions to help human raters judge agent behaviour. First, t...

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Hauptverfasser:	Glaese, Amelia, McAleese, Nat, Trębacz, Maja, Aslanides, John, Firoiu, Vlad, Ewalds, Timo, Rauh, Maribeth, Weidinger, Laura, Chadwick, Martin, Thacker, Phoebe, Campbell-Gillingham, Lucy, Uesato, Jonathan, Huang, Po-Sen, Comanescu, Ramona, Yang, Fan, See, Abigail, Dathathri, Sumanth, Greig, Rory, Chen, Charlie, Fritz, Doug, Elias, Jaume Sanchez, Green, Richard, Mokrá, Soňa, Fernando, Nicholas, Wu, Boxi, Foley, Rachel, Young, Susannah, Gabriel, Iason, Isaac, William, Mellor, John, Hassabis, Demis, Kavukcuoglu, Koray, Hendricks, Lisa Anne, Irving, Geoffrey
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Learning
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