What are the ongoing discussions and debates within the AI research community regarding the future of fine tuning and its role in shaping the next generation of AI?

Aug 16, 2024 ... The very last classification layer (on "top", as most diagrams of machine learning models go from bottom to top) is not very useful. Instead ... 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 ... Accelerating Distributed Deep Neural Network Training and Fine-Tuning Through Resource Interleaving ... deep learning has created a massive demand for ... Jun 10, 2024 ... By fine-tuning only the adapter layers, the original parameters of ... Our research in machine learning breaks new ground every day. 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 ... Barakat, Basel and Huang, Qiang. 2024. 'Enhancing Transfer Learning Reliability via Block-wise Fine-tuning'. In: 2023 International Conference on Machine ... In this paper, we demonstrate that transfer learning and fine-tuning can significantly improve the accuracy of liver lesion classification, especially for small ... Learn the fundamentals of finetuning a large language model (LLM). Understand how finetuning differs from prompt engineering, and when to use both. Jan 25, 2024 ... Learn Machine Learning. Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is ... Sep 30, 2020 ... Experiment Manager is an app for training, fine-tuning, and explaining your deep learning networks under a variety of initial conditions.