
NVIDIA, in collaboration with MIT, has introduced a new vision language model named VILA 1.5, which can reason among multiple images, learn in context, and understand videos. This model, described as the best open-source vision language model currently available, has been fully open-sourced, including training code and data. VILA 1.5 has achieved state-of-the-art accuracy on the MMMU dataset and supports multi-image processing. It is optimized for performance on NVIDIA GPUs, including the Jetson Orin Nano, and is capable of running on multiple GPUs. The model also features AWQ quantized models and is touted as the fastest on NVIDIA's Jetson Orin Nano. The advancements of VILA 1.5 are detailed in the CVPR'24 paper.
🧠🇺🇸 Researchers at NVIDIA and MIT introduce 'VILA': A Vision Language Model that learns from images + videos and makes sense of them, bringing AI closer to human understanding. https://t.co/bmsKsEQyxM
Researchers at NVIDIA AI Introduce ‘VILA’: A Vision Language Model that can Reason Among Multiple Images, Learn in Context, and Even Understand Videos Quick read: https://t.co/SszEz770QA Researchers from NVIDIA and MIT have introduced a novel visual language model (VLM)… https://t.co/281TDaeXDX
Take a look under the hood of the new Llama 3 model by following along Srijanie Dey, Edurado Ordax, and Tom Yeh's lucid explainer on its transformer architecture. https://t.co/wkzuu5GBAK










