What are audio processing tasks where fine tuning is employed?

Deep learning practice is increasingly driven by powerful foundation models (FM), pre-trained at scale and then fine-tuned for specific tasks of interest. Jun 6, 2022 ... Title:Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ... Abstract:We consider fine-tuning a pretrained ... One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated ... Jan 31, 2025 ... Transforming a foundation LLM into a solution that meets an application's needs requires a process called fine-tuning. May 1, 2018 ... Transfer learning is when a model developed for one task is reused to work on a second task. Fine-tuning is one approach to transfer ... Mar 15, 2024 ... Fine-tuning in machine learning is the process of adapting a pre-trained model for specific tasks or use cases. Discover essential techniques for fine-tuning deep learning models to boost performance and achieve better results. Read the article to enhance your skills. Chong Zhang 1, (张翀) Student Member, CCF,; Hong-Zhi Wang 1, (王宏志) Senior Member, IEEE, Member, CCF,; Hong-Wei Liu 1, , (刘宏伟) Member, CCF, ... 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? Learn the fundamentals of finetuning a large language model (LLM). Understand how finetuning differs from prompt engineering, and when to use both.