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.
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
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.
English text embedding model for question-answering retrieval.
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
Visual Changenet detects pixel-level change maps between two images and outputs a semantic change segmentation mask
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
GPU-accelerated generation of text embeddings used for question-answering retrieval.
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Generate images and stunning visuals with realistic aesthetics.