Thomas Kollar · X (formerly Twitter)

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Head of AI @ Wayve; ex-Research Manager @ TRI; ex-Amazon; ex Apple. CMU / MIT

san jose, ca

Joined October 2008

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    Building language models is difficult and requires high quality preprocessing, modeling, evaluation and large scale training. As significant collaborators in this project at TRI, the resulting 7B model DCLM-7B is a significant achievement. It is a competitor to Mistral 7B and

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    By first developing some of the best Vision-Language Models with Prismatic at TRI: github.com/TRI-ML/prismat… OpenVLA was able to quickly build some of the best generalist policies for robotics. Code, data and weights are all open-source: openvla.github.io This is a great

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    Over the last year at TRI we’ve been training Large Language Models, including results in the following areas: Scaling: arxiv.org/abs/2403.08540 Alignment: arxiv.org/abs/2402.12366 As a part of upcoming work, we are sharing back with the open source community and releasing a

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    At TRI, we are looking to build Robotics Foundation Models, or what we call Large Behavior Models (LBMs). Large scale robotics datasets, such as DROID are a part of the strategy to enable broadly capable LBMs that include language, vision and action: droid-dataset.github.io

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    After a long adventure, the DROID dataset is finally out!

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