What Is A Transformer-Based Model? Transformer-based models are a powerful type of neural network architecture that has revolutionised the field of natural language processing (NLP) in recent years.

Google DeepMind published a research paper that proposes language model called RecurrentGemma that can match or exceed the performance of transformer-based models while being more memory efficient, ...

Researchers from Japan combined social media posts with transformer-based deep learning models to effectively detect heat stroke events. This approach demonstrated strong performance in identifying ...