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ML Engineer & Scientist
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University of Cambridge
- London
- https://orcid.org/0009-0008-9590-3291
- in/fin-griffin-72549a284
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acceleratescience/hands-on-llms
acceleratescience/hands-on-llms PublicA practical workshop to how large language model systems work, and how to get up and running quickly.
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acceleratescience/docker-for-science
acceleratescience/docker-for-science PublicHow to work with Docker to make your code reproducible
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pico-lm/pico-train
pico-lm/pico-train PublicA minimalistic framework for transparently training language models and storing comprehensive checkpoints for in-depth learning dynamics research.
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