How can the insights gained from XAI be used to improve the fine-tuning process itself?

Jun 10, 2024 ... By fine-tuning only the adapter layers, the original parameters of ... Our research in machine learning breaks new ground every day. Accelerating Distributed Deep Neural Network Training and Fine-Tuning Through Resource Interleaving ... deep learning has created a massive demand for ... Fine-tuning is a deep learning technique that refers to taking a pre-trained model and further training it on a new dataset or task. Jun 15, 2024 ... Many methods have been proven effective in improving model quality, efficiency, and resource consumption in Deep Learning. The distinction ... Jun 26, 2024 ... PDF | Tasks like SAR ship classification suffer in deep learning due to data scarcity and class imbalance. To overcome these challenges, ... May 2, 2022 ... An Indonesian recipe generator Deep Learning model trained by fine-tuning pre-trained models such as T5, BART, and GPT-2 Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans Med Imaging. 2018 Jul;37(7):1562-1573. doi: 10.1109 ... We present GOODFIT, one of the first optimizers that has been specifically designed to operate on converged models that need to be incrementally fine-tuned ... Oct 31, 2024 ... Exx-Blog-5-Tips-for-Fine-Tuning-LLMs. Deep Learning. Top 5 Tips for Fine-Tuning LLMs. October 31, 2024 11 min read. Why Fine-Tuning Matters? Deep neural networks have been highly successful across a multitude of domains, from computer vision [1, 2] and natural language processing [3, 4], to game ...