Ilya Sutskever's reading list of 27 research [papers](https://arc.net/folder/D0472A20-9C20-4D3F-B145-D2865C0A9FEE)

Some LLM papers (the GPT, Llama, and Gemini):
1. [GPT-1](https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf)
2. [GPT-2](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)
3. [GPT-3](https://arxiv.org/pdf/2005.14165)
4. [GPT-4](https://arxiv.org/pdf/2303.08774)
5. [Llama-2](https://arxiv.org/pdf/2307.09288)
6. [Tools](https://arxiv.org/pdf/2403.15452)
7. [Gemini-Pro-1.5](https://storage.googleapis.com/deepmind-media/gemini/gemini_v1_5_report.pdf)
8. [Andrew Ng's agentic patterns series](https://www.deeplearning.ai/the-batch/how-agents-can-improve-llm-performance/)