| 2013 | Szegedy et al. | Intriguing properties of neural networks | 5장 딥러닝 2012–17 |
| 2016 | Amodei et al. | Concrete Problems in AI Safety | 5장 딥러닝 2012–17 |
| 2017 | Christiano et al. | Deep reinforcement learning from human preferences | 5장 딥러닝 2012–17 |
| 2017 | Hestness et al. | Deep Learning Scaling is Predictable, Empirically | 6장 사전학습·생성 2017–22 |
| 2020 | Kaplan et al. | Scaling Laws for Neural Language Models | 6장 사전학습·생성 2017–22 |
| 2020 | Stiennon et al. | Learning to summarize from human feedback | 6장 사전학습·생성 2017–22 |
| 2021 | Fedus et al. | Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity | 6장 사전학습·생성 2017–22 |
| 2021 | Bender et al. | On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? | 6장 사전학습·생성 2017–22 |
| 2022 | Hoffmann et al. | Training Compute-Optimal Large Language Models | 6장 사전학습·생성 2017–22 |
| 2022 | Ouyang et al. | Training language models to follow instructions with human feedback | 6장 사전학습·생성 2017–22 |
| 2022 | Chowdhery et al. | PaLM: Scaling Language Modeling with Pathways | 6장 사전학습·생성 2017–22 |
| 2022 | Wei et al. | Emergent Abilities of Large Language Models | 6장 사전학습·생성 2017–22 |