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cs.LG2024
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
Marawan Gamal Abdel Hameed, Aristides Milios, Siva Reddy +1
Model training requires significantly more memory, compared with inference. Parameter efficient fine-tuning (PEFT) methods provide a means of adapting large models to downstream ta…
cs.CL2024★ 2 cited
LLMs can learn self-restraint through iterative self-reflection
Alexandre Piché, Aristides Milios, Dzmitry Bahdanau +1
In order to be deployed safely, Large Language Models (LLMs) must be capable of dynamically adapting their behavior based on their level of knowledge and uncertainty associated wit…