Riccardo Cantini
Riccardo Cantini
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Low-resource devices
XAI-driven Knowledge Distillation of Large Language Models for Efficient Deployment on Low-Resource Devices
Large Language Models (LLMs) are characterized by their inherent memory inefficiency and compute-intensive nature, making them impractical to run on low-resource devices and hindering their applicability in edge AI contexts. To address this issue, …
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