Dustin Tran
I am a senior staff research scientist at Google DeepMind. I am the co-creator of Gemini-0801, Google's first #1 on LMSYS. I'm also the eval expert behind 2.5 models such as those attaining #1 on WebDev Arena and HLE. More broadly, I am a core contributor to Gemini 1, 1.5, 2, and 2.5 working across fundamentals in RL, evals, and data. I co-lead their papers and results. Prior to Gemini, my most no
TensorFlow Distributions
The TensorFlow Distributions library implements a vision of probability theory adapted to the modern deep-learning paradigm of end-to-end differentiable computation. Building on two basic abstractions, it offers flexible building blocks for probabilistic computation. Distributions provide fast, numerically stable methods for generating samples and computing statistics, e.g., log density. Bijectors
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An introduction to probabilistic programming, now available in TensorFlow Probability
