Latest Deep-Learning Articles

Neural networks are machine-learning models built from layers of interconnected mathematical units that learn how to transform input data into useful outputs. They power many modern AI systems, including image recognition, speech processing, recommendation systems, and large language models.

Transformers are neural-network architectures designed to process relationships between elements in a sequence using a mechanism called attention . They are the foundation of most modern large language models and are also widely used for images, audio, video, and multimodal AI.