To ensure AI systems reflect local values and regulations, nations are increasingly pursuing sovereign AI strategies; developing AI utilising their own infrastructure, data, and expertise. NVIDIA is lending its support to this movement with the […]
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Digital Twin (DT) technology is becoming more and more popular as a method that gives Internet of Things (IoT) devices dynamic topology mapping and real-time status updates. However, there are difficulties in deploying DT in […]
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Medical abstractive summarization faces challenges in balancing faithfulness and informativeness, often compromising one for the other. While recent techniques like in-context learning (ICL) and fine-tuning have enhanced summarization, they frequently overlook key aspects such as […]
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Language models have gained prominence in reinforcement learning from human feedback (RLHF), but current reward modeling approaches face challenges in accurately capturing human preferences. Traditional reward models, trained as simple classifiers, struggle to perform explicit […]
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