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Multi-modal vision-language model that understands text/img/video and creates informative responses
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.
Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.
A bilingual Hindi-English SLM for on-device inference, tailored specifically for Hindi Language.
Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA in order to improve the helpfulness of LLM generated responses.
State-of-the-art small language model delivering superior accuracy for chatbot, virtual assistants, and content generation.
Leaderboard topping reward model supporting RLHF for better alignment with human preferences.
Unique language model that delivers an unmatched accuracy-efficiency performance.
Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling
State-of-the-art small language model delivering superior accuracy for chatbot, virtual assistants, and content generation.
Most advanced language model for reasoning, code, multilingual tasks; runs on a single GPU.
Multilingual text reranking model.
English text embedding model for question-answering retrieval.
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
Grades responses on five attributes helpfulness, correctness, coherence, complexity and verbosity.
Creates diverse synthetic data that mimics the characteristics of real-world data.
