references

references

 

Chapter 1

  1. Paul F Christiano et al. Deep reinforcement learning from human preferences. Advances in neural information processing systems, 30, 2017.
  2. Nisan Stiennon et al. Learning to summarize with human feedback. Advances in Neural Information Processing Systems, 33: 3008–3021, 2020.
  3. Long Ouyang et al. Training language models to follow instructions with human feedback. Advances in neural information processing systems, 35: 27730–27744, 2022.
  4. Reiichiro Nakano et al. WebGPT: Browser-assisted question-answering with human feedback. arXiv preprint arXiv:2112.09332, 2021.
  5. Yuntao Bai et al. Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv preprint arXiv:2204.05862, 2022.
  6. Nathan Lambert et al. Tulu 3: Push-ing frontiers in open language model post-training. arXiv preprint arXiv:, 2024.
  7. Aaron Grattafiori et al. The Llama 3 Herd of Models. arXiv preprint arXiv:2407.21783, 2024.

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11

Chapter 12

Chapter 13

Chapter 14

Chapter 15

Chapter 16

Chapter 17

Appendix A

Appendix B

Appendix C