Tal Schuster is a machine learning researcher at Google DeepMind, where he leads research and development on adaptive compute methods for large language models, including work landing in Gemini and other LLM products. His research has also covered model robustness, computer vision, medical screening, and cancer-risk prediction.
Tal Schuster is a machine learning researcher at Google DeepMind, where he leads research and development on adaptive compute methods for large language models, including work landing in Gemini and other LLM products. His research has also covered model robustness, computer vision, medical screening, and cancer-risk prediction.