Tal Schuster
Login to view DISC.Tal is a Senior Staff Research Scientist at Google DeepMind, where he focuses on developing LLM adaptive compute modeling solutions for core products like Gemini. With a PhD from MIT, his expertise also includes improving the robustness of machine learning models in real-world applications.
His past work involved creating deep learning and computer vision applications for medical screenings, including algorithms to help predict personal cancer risk.
He co-developed CALM (Confident Adaptive Language Modeling), a method that allows language models to dynamically adjust computational effort to accelerate text generation.
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