long neck architecture

Long neck architecture in machine learning refers to models designed with many layers stacked vertically, resembling a long "neck." These deep neural networks allow for the extraction of complex patterns and features from data, enabling better understanding and performance on tasks like language processing or image recognition. The depth (length of the "neck") helps the model learn hierarchical representations, where simple features are combined into more abstract concepts. While they can be computationally intensive, they have driven significant advances in AI by enabling more nuanced and accurate results across various applications.