@simran_s_arora
building ai systems, cs phd @stanford @hazyresearch, incoming assistant professor @caltech, svp of research @togethercompute
AI
Together says its compiler serves trillions of tokens daily and adapts to traffic shifts within hours of recompilation.
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Unlike models with fixed tokenizers, H-Net learns to group raw bytes within the model, Cartesia says.
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Its creators also report 10–21× faster unconditional generation on three datasets, with comparable or better generative perplexity.
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A post says SanSi runs Ouro-1.4B for up to eight loops and can answer after any loop.
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A user says the company did not exist three years earlier and credits its reported headcount to M&A and AI.
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AMD says its code walkthrough takes developers from a baseline GPU kernel through optimizations including asynchronous memory transfers and Tensor Data Movers, showing how each technique affects performance.
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MIT researchers examine dynamic compression to let RNNs revisit and reorganize memory states during sequences.