Kuang: Chenkai
#ChenkaiKuang #SculptureArt #ArtOfTheDay
Post-training data, RL recipe and scaling, reward models, and inference-time techniques. Key Contributions: Core developer behind Gemini 1.0, 1.5, 2.0, 2.5, and 3.0. Earlier work on Bard and LaMDA models. chenkai kuang
Kuang has co-authored several papers in multimodal and long-context language models: RL recipe and scaling
His work has over 15,000 citations, according to his Google Scholar profile, which reflects his influence on AI development. according to his Google Scholar profile