Direct alignment of large-scale language models by distillation of contrastive and self-rewarding cues by Technical Terrence Team 08/07/2024 0 Aligning large language models (LLMs) to human expectations without human-annotated preference data is a major problem. In this paper, we ...
This AI article from Meta and NYU presents self-rewarding language models that are capable of self-alignment by evaluating and training their own generations. by Technical Terrence Team 01/23/2024 0 Future models must receive superior feedback for training signals to be effective and thus advance the development of superhuman agents. ...