💣💣💣 Say goodbye to slow generation times!
This beast retains 98.7% of baseline quality, yet cranks out results 2
💣💣💣 Say goodbye to slow generation times!
This beast retains 98.7% of baseline quality, yet cranks out results 2
www.marktechpost.com/2026/07/01/n....
www.marktechpost.com/2026/07/01/n....
🔗 aidailypost.com/news/nvidia-...
🔗 aidailypost.com/news/nvidia-...
#Autoregressive and #Diffusion gaining x2.4 throughout, sacrificing 1-3% accuracy.
#LLM #AI
#OpenSource nvidia-open-model lic
huggingface.co/nvidia/Nemot...
#Autoregressive and #Diffusion gaining x2.4 throughout, sacrificing 1-3% accuracy.
#LLM #AI
#OpenSource nvidia-open-model lic
huggingface.co/nvidia/Nemot...
Nemotron-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context
https://arxiv.org/abs/2606.26493
Nemotron-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context
https://arxiv.org/abs/2606.26493
https://www.ebisuda.net/tech/2026/07/25/nvidiallmnemotron-labs-twotower242-nvidia-releases-nemotron-labs-twotower-an-ope/
https://www.ebisuda.net/tech/2026/07/25/nvidiallmnemotron-labs-twotower242-nvidia-releases-nemotron-labs-twotower-an-ope/
NVIDIAが拡散型LLM「Nemotron-Labs-TwoTower」を公開。追加学習だけで既存モデルを高速化できるという発想が面白い🤖
詳しくはこちら👇
https://www.ebisuda.net/tech/2026/07/25/nvidiallmnemotron-labs-twotower242-nvidia-releases-nemotron-labs-twotower-an-ope/
#TechNews #生成AI
NVIDIAが拡散型LLM「Nemotron-Labs-TwoTower」を公開。追加学習だけで既存モデルを高速化できるという発想が面白い🤖
詳しくはこちら👇
https://www.ebisuda.net/tech/2026/07/25/nvidiallmnemotron-labs-twotower242-nvidia-releases-nemotron-labs-twotower-an-ope/
#TechNews #生成AI
Model: huggingface.co/nvidia/Nemot...
Paper: arxiv.org/abs/2606.26493
Model: huggingface.co/nvidia/Nemot...
Paper: arxiv.org/abs/2606.26493
A diffusion language model adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch.
A diffusion language model adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch.
https://www.reddit.com/r/LocalLLaMA/comments/1uf4azy/nvidia_has_released/
NVIDIA 近期發佈了基於 Nemotron 3 Nano 30B-A3B 構建的 Nemotron-TwoTower-30B-A3B-Base 模型。該模型採用獨特的擴散模型(Diffusion-based)架構,結合了凍結的自回歸上下文塔與擴散去噪塔,使其能夠平行填充 Token 塊,而非傳統的逐字生成。實驗數據顯示,此架構在保留 98 […]
https://www.reddit.com/r/LocalLLaMA/comments/1uf4azy/nvidia_has_released/
NVIDIA 近期發佈了基於 Nemotron 3 Nano 30B-A3B 構建的 Nemotron-TwoTower-30B-A3B-Base 模型。該模型採用獨特的擴散模型(Diffusion-based)架構,結合了凍結的自回歸上下文塔與擴散去噪塔,使其能夠平行填充 Token 塊,而非傳統的逐字生成。實驗數據顯示,此架構在保留 98 […]
https://u2m.io/x5JFlnow
https://u2m.io/x5JFlnow
#simcluster #simclusters #recsys #algorithm #twhin #recommendationsystem #machinelearning #twotower #graph
#simcluster #simclusters #recsys #algorithm #twhin #recommendationsystem #machinelearning #twotower #graph