
Markus Kliegl
@MarkusKliegl
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Research scientist at NVIDIA | Previously deep learning at Apple, DeepMind, Baidu Research
Mountain View, CA, USA
Joined April 2016
We are excited to release Nemotron-CC, our high quality Common Crawl based 6.3 trillion tokens dataset for LLM pretraining (4.4T globally deduplicated original tokens and 1.9T synthetically generated tokens). Compared to the leading open DCLM dataset, Nemotron-CC enables to
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RT @NVIDIAAIDev: We’re excited to share that 🥇Llama Nemotron Super 48B v1.5 -- our latest open reasoning model -- is now #1 on the @Artific….
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RT @NVIDIAAIDev: 👀 Nemotron-H tackles large-scale reasoning while maintaining speed -- with 4x the throughput of comparable transformer mod….
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RT @ctnzr: Nemotron-CORTEXA just reached the top of the SWEBench leaderboard for using LLMs to solve software engineering problems, solving….
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RT @NVIDIAAIDev: Curating high-quality pretraining datasets is crucial for accurate #LLMs. 💬. With our Nemotron-CC pipeline, now in the NeM….
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RT @ClementDelangue: Nvidia is currently #1 trending open model & #1 trending open dataset and closed to 25,000 followers on Hugging Face.….
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RT @_weiping: Introducing AceMath-RL-Nemotron-7B, an open math model trained with reinforcement learning from the SFT-only checkpoint: Deep….
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RT @shizhediao: Thrilled to share my first project at NVIDIA! ✨. Today’s language models are pre-trained on vast and chaotic Internet texts….
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RT @ctnzr: Nemotron-H: A family of Hybrid Mamba-Transformer LLMs. * Hybrid architecture means up to 3X faster at the same accuracy.* Traine….
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RT @_weiping: Introducing AceMath, a cutting-edge suite of math models designed to excel at solving complex math problems, complemented by….
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RT @liu_mingyu: Cosmos is a developer-first platform designed to help physical AI builders accelerate their develop….
github.com
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos - NVIDIA/Cosmos
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