So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

Abstract: Neuromorphic computing aims to replicate the brain’s capabilities for energy-efficient and parallel information processing, promising a solution to the increasing demand for faster and more ...

Abstract: Real-world systems often encounter new data over time, which leads to experiencing target domain shifts. Existing Test- Time Adaptation (TTA) methods tend to apply computationally heavy and ...