Abstract: A majority of coded matrix-matrix computation literature has broadly focused in two directions: matrix partitioning for computing a single computation task and batch processing of multiple ...
Low rank adapation (LoRA) is a parameter efficient way to add new knowledge to a pretrained LLM. Although the pretrained LLM takes 100s of GB storage, a LoRA finetuned model only adds 1% storage and ...
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