AWS has added NVIDIA's Nemotron 3.5 Super VL to SageMaker JumpStart. It's a vision-language model that takes images, video and text, with 120B total parameters but 12B active per token. The article walks through the architecture and notes that the ready-made serving configs use much shorter context windows (520 to 15,600 tokens) than the 1M-token maximum. #MachineLearning #VLM #SageMakerhttps://mlhub.blog/news/nvidias-nemotron-35-super-vl-vision-language-model-kwz26aky/
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AWS has added NVIDIA's Nemotron 3.5 Super VL to SageMaker JumpStart. It's a vision-language model that takes images, vid...
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