Abstract: A significant number of users depend on Large Language Models (LLMs) for downstream tasks, but training LLMs from scratch remains prohibitively expensive. Sparse finetuning (SFT) has emerged ...
Abstract: Modern data processing increasingly relies on both CPU and GPU acceleration to handle large-scale analytical queries efficiently. Our work analyzes and compares in the performance of CPU and ...
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