How can we ensure that fine-tuned models are used responsibly and do not exacerbate existing societal biases?

only fine-tune the last layer of the deep neural network: here, the last layer of the source model is kept but serves as an initialization of the target Machine ... 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? Oct 15, 2024 ... ... Fine-tuning deep learning architectures for early detection of oral cancer. In: 2nd International Symposium on Mathematical and ... One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated ... Sep 11, 2023 ... Supervised fine-tuning (SFT) is the first training step within the alignment process for LLMs, and it is actually quite simple. First, we need ... May 24, 2019 ... It integrates the huggingface library with the fastai library to fine-tune the BERT model, with an application on an old Kaggle competition. Dec 4, 2019 ... We then combine BERT with a one-dimensional convolutional neural network (1d-CNN) to fine-tune the pre-trained model for relation extraction. 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. Aug 24, 2016 ... Here in Part 2, I describe Deep Convolutional Neural Networks (DCNNs) and how Transfer learning and Fine-tuning helps better the training process for domain ... What is fine-tuning in machine learning and AI? ... Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, ...