Between global frontier models and a fast-growing set of homegrown ones, Indian learners already have more artificial ...
Abstract: This paper addresses the challenges of high computational cost and severe parameter redundancy in the fine-tuning of large language models. It proposes an efficient fine-tuning algorithm ...
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