Nemotron-3-8B-Chat-SteerLM is an 8 billion parameter generative language model based on the Nemotron-3-8B base model. It has been customized for user control of model outputs during inference using the SteerLM method developed by NVIDIA.
Llama 2 SteerLM Chat is a large language model, aligned using the SteerLM technique developed by NVIDIA. This allows you to adjust the preferred style of response to attributes (such as creativity, complexity and verbosity) at inference time.
Nemotron-3-8B-QA is a 8 billion parameter generative language model based on the Nemotron-3-8B base model. The model has been further fine-tuned for instruction following by NVIDIA specifically for Question Answering.
A genome-scale language foundation model (GenSLM) is an LLM trained on all known genomes from a virus or bacteria. It learns the evolutionary landscape of viruses like SARS-CoV-2 and can accurately and rapidly identify new variants.
The Versatile Imaging SegmenTation and Annotation (VISTA) model combines semantic segmentation with interactivity, offering high accuracy and adaptability across diverse anatomical areas for medical imaging.
The CLIP (Contrastive Language-Image Pretraining) model combines vision and language using contrastive learning. It understands images and text together, enabling tasks like image classification and object detection.