Yuanzhi Li
First author of the phi-1.5 report and co-author of TinyStories and Microsoft's other Phi model reports
Yuanzhi Li is first author of the 2023 phi-1.5 technical report, which describes a 1.3 billion parameter model trained largely on synthetic "textbook quality" data and states that the model was open-sourced; its Hugging Face model card lists the MIT license. Li co-authored the TinyStories paper with Ronen Eldan, with both listed at Microsoft Research, and is a co-author of the phi-1, Phi-3, and Phi-4 technical reports and a listed contributor to Phi-2.1234567
Work
Phi small language modelsOpen weights
First author of the phi-1.5 technical report (2023), co-author of the phi-1 (2023), Phi-3 (2024), and Phi-4 (2024) reports, and a listed contributor on the Microsoft Research blog post announcing Phi-2. The phi-1.5 model card on Hugging Face lists the MIT license.145672
TinyStories (external site: arxiv.org)Published research
Co-author with Ronen Eldan of the 2023 paper introducing TinyStories, a synthetic dataset of short stories generated by GPT-3.5 and GPT-4, used to train and evaluate language models with fewer than 10 million parameters.3
Other documented roles
Roles the sources document but that are not confirmed as current.
- Listed with a Microsoft Research affiliation on the 2023 TinyStories paper, Microsoft Research3
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