1. Mahyar Abbasian Iman Azimi Amir M. Rahmani and Ramesh Jain. 2024. Conversational Health Agents: A Personalized LLM-Powered Agent Framework. arxiv: 2310.02374 [cs.CL]
2. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).
3. Phillip Carter. 2023. All the hard stuff nobody talks about when building products with llms. https://www.honeycomb.io/blog/hard-stuff-nobody-talks-about-llm
4. Zui Chen, Zihui Gu, Lei Cao, Ju Fan, Sam Madden, and Nan Tang. 2023. Symphony: Towards natural language query answering over multi-modal data lakes. In Conference on Innovative Data Systems Research, CIDR. 8--151.
5. Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, and Zhifang Sui. 2022. A survey for in-context learning. arXiv preprint arXiv:2301.00234 (2022).