utils/resources.md

- Natural Language Processing with Transformers [Tunstall et al., 2022](https://www.oreilly.com/library/view/natural-language-processing/9781098103231/).
- Evaluating large language models trained on code [Chen et al., 2021](https://arxiv.org/abs/2107.03374).
- Competition-Level Code Generation with AlphaCode [Li et al., 2022](https://arxiv.org/abs/2203.07814).
- InCoder: A Generative Model for Code Infilling and Synthesis [Fried et al., 2022](https://arxiv.org/abs/2204.05999).
- A Conversational Paradigm for Program Synthesis [Nijkamp et al. 2022](https://arxiv.org/abs/2203.13474).
- A systematic evaluation of large language models of code [Xu et al. 2022](https://arxiv.org/abs/2202.13169).