How can fine tuning improve the accuracy of speech-to-text systems?

Jul 13, 2023 ... Fine-tuning to another language ... What is the best option, if we need a model for a downstream task in another language from the base model? In this paper, we demonstrate that transfer learning and fine-tuning can significantly improve the accuracy of liver lesion classification, especially for small ... Nov 21, 2017 ... Fine-tuning is a way of applying or utilizing transfer learning. Specifically, fine-tuning is a process that takes a model that has already been ... This FITML workshop aims to contribute to the recent radical paradigm shift for fine-tuning in modern machine learning, theoretically, computationally, and ... Sep 30, 2020 ... Experiment Manager is an app for training, fine-tuning, and explaining your deep learning networks under a variety of initial conditions. Jun 15, 2024 ... Many methods have been proven effective in improving model quality, efficiency, and resource consumption in Deep Learning. The distinction ... 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 ... 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? Feb 28, 2025 ... For the learning rate during fine-tuning, we often use a value up to 10 times smaller than usual. As a result, our model will try to adapt ... Apr 2, 2025 ... Generative AI models or foundation models are large ML models pre-trained with the intention that they are to be fine-tuned for more specific ...