This paper proposes a new method called MoRA for parameter-efficient fine-tuning of large language models (LLMs). The proposed method, MoRA, employs a square matrix to achieve high-rank updating, maintaining the same number of trainable parameters. The paper suggests that low-rank updating, as implemented in LoRA, may limit the ability of LLMs to effectively learn and memorize new knowledge. MoRA outperforms LoRA on memory-intensive tasks and achieves comparable performance on other tasks.
Google Photos is about to undergo a radical change with the integration of Gemini AI models. A new 'Ask Photos' feature will turn the platform into a visual database, enabling users to search for photos and videos using everyday language.
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