Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
An edge computing AI model which accepts text, audio and image input, ideal for resource-constrained environments
Powerful, multimodal language model designed for enterprise applications, including software development, data analysis, and reasoning.
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
A multimodal, multilingual 16 MoE model with 17B parameters.
Develop AI powered weather analysis and forecasting application visualizing multi-layered geospatial data.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.
Enhance and modify high-quality compositions using real-time rendering and generative AI output without affecting a hero product asset.
Cutting-edge vision-language model exceling in high-quality reasoning from images.
Cutting-edge vision-Language model exceling in high-quality reasoning from images.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Vision foundation model capable of performing diverse computer vision and vision language tasks.
Verify compatibility of OpenUSD assets with instant RTX render and rule-based validation.
Visual Changenet detects pixel-level change maps between two images and outputs a semantic change segmentation mask
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
