What are the ethical implications of using fine tuning to create highly specialized AI models?

AI is the new electricity and will transform and improve nearly all areas of human lives. close. Sign in with Google. Sign in with LinkedIn. Or, sign in ... Jun 1, 2022 ... Award Share. Community Info Section. r/deeplearning. Join. Deep Learning. 192K Members. 56 Online. Top 1% Rank by size. More posts you may like. The p3 family is recommended as the fastest for deep learning training, and this is recommended for fine-tuning a model. The following chart shows the number of ... Jun 6, 2022 ... Title:Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ... Abstract:We consider fine-tuning a pretrained ... Barakat, Basel and Huang, Qiang. 2024. 'Enhancing Transfer Learning Reliability via Block-wise Fine-tuning'. In: 2023 International Conference on Machine ... Fine-tuning is a technique used in machine learning and deep learning to adapt a pre-trained model to perform specific tasks or domains. Accelerating Distributed Deep Neural Network Training and Fine-Tuning Through Resource Interleaving ... deep learning has created a massive demand for ... Jun 3, 2019 ... Fine-tuning is a super-powerful method to obtain image classifiers on your own custom datasets from pre-trained CNNs (and is even more powerful ... Fine-Tuning in Modern Machine Learning: Principles and Scalability. Fanghui Liu, Grigorios Chrysos, Beidi Chen, Rebekka Burkholz, Saleh Soltan, Angeliki ... A fine-tuning deep learning framework to palliate data distribution shift effects in rotary machine fault detection. Nima Rezazadeh, Perfetto Donato, Mario ...