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Large machine learning models based on the transformer architecture have recently demonstrated extraordinary results on a range of vision and language tasks. But such large models...
Geospatial technologies have rapidly ascended to a position of paramount importance across the globe. By providing a better understanding of Earth’s ever-evolving landscape and our intricate...
Knowledge distillation (KD) is one of the most effective ways to deploy large-scale language models in environments where low latency is essential. KD involves transferring the...
Teaching large language models (LLMs) to reason is an active topic of research in natural-language processing, and a popular approach to that problem is the so-called...
Knowledge distillation is a popular technique for compressing large machine learning models into manageable sizes, to make them suitable for low-latency applications such as voice assistants....