DataBloom

Knowledge distillation is an approach for transferring the knowledge of a much larger teacher model to a smaller student model, ideally yielding a compact,…

Knowledge distillation is an approach for transferring the knowledge of a much larger teacher model to a smaller student model, ideally yielding a compact, easily deployable student with comparable accuracy to the teacher. Knowledge distillation has gained popularity in pretraining settings, but there are fewer resources available for performing knowledge distillation during supervised fine-tuning…

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NVIDIA OptiX is the API for GPU-accelerated ray tracing with CUDA, and is often used to render scenes containing a wide variety of objects and materials. During…

NVIDIA OptiX is the API for GPU-accelerated ray tracing with CUDA, and is often used to render scenes containing a wide variety of objects and materials. During an OptiX launch, when a ray intersects a geometric primitive, a hit shader is executed. The question of which shader is executed for a given intersection is answered by the Shader Binding Table (SBT). The SBT may also be used to map input…

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Generative AI is transforming enterprises by driving innovation and boosting efficiency across numerous applications. However, adopting large foundational…

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NVIDIA just announced a series of small language models (SLMs) that increase the amount and type of information digital humans can use to augment their…

NVIDIA just announced a series of small language models (SLMs) that increase the amount and type of information digital humans can use to augment their responses. This includes new large-context models that provide more relevant answers and new multi-modal models that allow images as inputs. These models are available now as part of NVIDIA ACE, a suite of digital human technologies that brings…

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Meta’s Llama collection of open large language models (LLMs) continues to grow with the recent addition of Llama 3.3 70B, a text-only instruction-tuned model….

Meta’s Llama collection of open large language models (LLMs) continues to grow with the recent addition of Llama 3.3 70B, a text-only instruction-tuned model. Llama 3.3 provides enhanced performance respective to the older Llama 3.1 70B model and can even match the capabilities of the larger, more computationally expensive Llama 3.1 405B model on several tasks including math, reasoning, coding…

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In enterprise AI, understanding and working across multiple languages is no longer optional — it’s essential for meeting the needs of employees, customers and users worldwide. Multilingual information retrieval — the ability to search, process and retrieve knowledge across languages — plays a key role in enabling AI to deliver more accurate and globally relevant
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Efficient text retrieval is critical for a broad range of information retrieval applications such as search, question answering, semantic textual similarity,…

Efficient text retrieval is critical for a broad range of information retrieval applications such as search, question answering, semantic textual similarity, summarization, and item recommendation. It also plays a pivotal role in retrieval-augmented generation (RAG), a technique that enables large language models (LLMs) to access external context without modifying underlying parameters.

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NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade. The new NVIDIA Jetson Orin Nano Super Developer Kit, which fits in the palm of a hand, provides everyone from commercial AI developers to hobbyists and students, gains in generative AI capabilities
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The generative AI landscape is rapidly evolving, with new large language models (LLMs), visual language models (VLMs), and vision language action (VLA) models…

The generative AI landscape is rapidly evolving, with new large language models (LLMs), visual language models (VLMs), and vision language action (VLA) models emerging daily. To stay at the forefront of this transformative era, developers need a platform powerful enough to seamlessly deploy the latest models from the cloud to the edge with optimized inferencing and open ML frameworks using CUDA.

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