Month: August 2024

Developing a high-performing Hebrew large language model (LLM) presents distinct challenges stemming from the rich and complex nature of the Hebrew language…

Developing a high-performing Hebrew large language model (LLM) presents distinct challenges stemming from the rich and complex nature of the Hebrew language itself. The intricate structure of Hebrew, with words formed through root and pattern combinations, demands sophisticated modeling approaches. Moreover, the lack of capitalization and the frequent absence of punctuation like periods and commas…

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High school student Selin Alara Ornek is looking ahead — using machine learning and the NVIDIA Jetson platform for edge AI and robotics to create robot guide dogs for the visually impaired. The project, called IC4U, is one of seven robots Ornek has created to date, including a school aid robot, named BB4All, that can
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RTX-powered video editing app CyberLink PowerDirector now has a setting for high-efficiency video encoding (HEVC).

As enterprises adopt generative AI applications powered by large language models (LLMs), there is an increasing need to implement guardrails to ensure safety…

As enterprises adopt generative AI applications powered by large language models (LLMs), there is an increasing need to implement guardrails to ensure safety and compliance with principles of trustworthy AI. NVIDIA NeMo Guardrails provides programmable guardrails for ensuring trustworthiness, safety, security, and controlled dialog while protecting against common LLM vulnerabilities.

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Building an effective automatic speech recognition (ASR) model for underrepresented languages presents unique challenges due to limited data resources.  In…

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Nsight Compute 2024.3 improves selectively exporting results into a new report, kernel name logging to debug empty reports, and profiling green contexts.

Nsight Compute 2024.3 improves selectively exporting results into a new report, kernel name logging to debug empty reports, and profiling green contexts.

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The exponential growth in data processing demand is projected to reach 175 zettabytes by 2025. This contrasts sharply with the slowing pace of CPU performance…

The exponential growth in data processing demand is projected to reach 175 zettabytes by 2025. This contrasts sharply with the slowing pace of CPU performance improvements. For more than a decade, semiconductor advancements have not kept up with the pace predicted by Moore’s Law, leading to a pressing need for more efficient computing solutions. NVIDIA GPUs have emerged as the most efficient…

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Imagine being able to put your best sales associate in front of every customer for every interaction. Your best sales associate offers product recommendations…

Imagine being able to put your best sales associate in front of every customer for every interaction. Your best sales associate offers product recommendations and how-to guidance, and explains related products customers might not have considered. The NVIDIA retail shopping advisor, introduced in this post, is a prebuilt, end-to-end AI workflow. It provides a reference design that demonstrates…

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The release supports GB100 capabilities and new library enhancements to cuBLAS, cuFFT, cuSOLVER, cuSPARSE, as well as the release of Nsight Compute 2024.3.

The release supports GB100 capabilities and new library enhancements to cuBLAS, cuFFT, cuSOLVER, cuSPARSE, as well as the release of Nsight Compute 2024.3.

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