Efficient parameter fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), allow large pre-trained baseline models to adapt to subsequent tasks ...
Recent advances in diffusion models have significantly improved tasks such as image, video, and 3D generation, with pre-trained models such ...
The process of human speech production involves coordinated respiratory action to obtain acoustic speech signals. Typically, speech is produced by ...
A major problem with large language models (LLMs) is their unintended ability to generate toxic language. In this work, we ...
Introduction XLNet is an autoregressive pretraining method proposed in the article "XLNet: Generalized Autoregressive Pretraining for Language Understanding". XLNet uses ...
Sleep staging is a clinically important task for diagnosing various sleep disorders, but its implementation at scale remains challenging because ...
The rapid advancement of large language models has ushered in a new era of natural language processing capabilities. However, a ...
Pretrained large language models (LLMs) have remarkable language processing capabilities, but require substantial computational resources. Binarization, which reduces model weights ...
Simplified using the HuggingFace training objectPicture of unpack by Markus SpiskeHugsFace It serves as the home for many popular open ...
In the fascinating world of artificial intelligence and music, a team at Google DeepMind has taken an innovative step. His ...
