Tom Conerly helped with engineering, speciﬁcally with fast and efﬁcient sampling.
Sheer El-Showk helped with pretraining research and dataset construction.
Nelson Elhage contributed signiﬁcantly to pretraining and to engineering vision.
Zac Hatﬁeld-Dodds helped with codebase maintenance and with engineering, speciﬁcally with fast and efﬁ-
cient sampling.
Danny Hernandez contributed to pretraining and especially to dataset design.
Tristan Hume helped with streamlining our infrastructure.
Scott Johnston helped with pretraining research.
Shauna Kravec contributed to the development and use of our RL systems, and collaborated on RL research.
Liane Lovitt helped with red-teaming, and in particular with designing the interface.
Neel Nanda contributed to research discussions and priorities for alignment.
Catherine Olsson helped advise on human feedback data collection, and contributed advice on alignment and
evaluation.
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback