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The Maximal Update Parameterization (µP) allows LR transfer from small to large models, saving costly tuning. But why is independent weight decay (IWD) essential for it to work? We find µP stabilizes early training (like an LR warmup), but IWD takes over in the long term! 🧵
Our robotics team will be at ICRA next week in Atlanta! Having started a new research team at Amazon building robot foundation models, we're hiring across all levels, full-time or intern, and across both SW and Research roles. Ping me at [email protected] and let's have a chat!
#hiring an #AppliedScientist in #Vancouver to leverage #MachineLearning and #LargeLanguageModels for real-time accounting insights and automations. PhD in CS/ML with experience in #ML , #GenAI and #LLM #Finance / #Accointing ? linkedin.com/posts/sudhir_a…
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Applied Scientist, Financial Insights and Actions | Sid Singh
#hiring an #AppliedScientist in #Vancouver to leverage #MachineLearning and #LargeLanguageModels for real-time accounting insights and automations. PhD in CS/ML with experience in #ML , #GenAI and...
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Great opportunity to meet our amazing team, discover Amazon culture and meet Leadership team... #DiscoverAmazon #amazon #Toronto #opportunity #culture lnkd.in/gtAgDyXq
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United in Enthusiasm and Growth | Our team's collective energy is fueled by the power of learning, growth and Inclusivity. Together, we embrace challenges, inspire one another, and foster a culture of Inclusion & Collaboration. With each team-learning ses…lnkd.in/gkACDQHy
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