How NVIDIA Uses Whisper
12 engineering articles about Whisper from NVIDIA's engineering team
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The article discusses NVIDIA's Blackwell Ultra architecture, which sets new inference records in the MLPerf Inference v5. 1 benchmark.
Zhihan Jiang
10 min read
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The article discusses the integration of advanced agentic architectures in MONAI, an open-source framework for medical imaging, to create a multimodal medical AI ecosystem.
Michael Zephyr
7 min read
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The article discusses the deployment of NVIDIA Riva's multilingual Automatic Speech Recognition (ASR) capabilities using Whisper and Canary architectures. It highlights the new features in Riva 2.
The article discusses the integration of NVIDIA ACE AI characters into games using the new In-Game Inferencing SDK (NVIGI).
The article discusses how the partnership between NVIDIA and Dataloop is transforming the preparation of multimodal datasets for large language models (LLMs).
Amit Bleiweiss
9 min read
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The article discusses the UlangiziAI chatbot, which provides on-demand, AI-powered agricultural advice to farmers in Malawi through WhatsApp.
The article discusses how NVIDIA NeMo has accelerated automatic speech recognition (ASR) models, achieving up to 10x speed improvements through various optimizations.
Daniel Galvez
12 min read
Includes Code
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NVIDIA has introduced its first on-device small language model (SLM) aimed at enhancing game character interactions, showcased in the game Mecha BREAK.
Developing Robust Georgian Automatic Speech Recognition with FastConformer Hybrid Transducer CTC BPE
The article discusses the development of a robust Automatic Speech Recognition (ASR) model for the Georgian language using the FastConformer Hybrid Transducer CTC BPE architecture.
Sofia Kostandian
9 min read
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The article discusses the integration of AI chatbots, particularly Gipi, with NVIDIA TensorRT-LLM and AI foundation models to enhance personalized learning experiences.
Nisanur Genc
5 min read
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The article discusses the release of the NVIDIA NeMo Canary model, a state-of-the-art multilingual model for speech recognition and translation.
The article discusses the launch of Supermicro's liquid-cooled AI development platform, designed to facilitate the rapid deployment of AI workloads.
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