transformerarkkitehtuureja
Transformers, or "transformerarkkitehtuureja" in Finnish, represent a revolutionary neural network architecture primarily used in natural language processing (NLP) and increasingly in other domains such as computer vision and speech recognition. Introduced in the paper "Attention is All You Need" by Vaswani et al. in 2017, this architecture eliminated the need for recurrent or convolutional structures by leveraging a mechanism called self-attention.
The core component of transformers is the self-attention mechanism, which enables the model to weigh the importance
Transformers have led to significant advancements in NLP, powering models such as BERT (Bidirectional Encoder Representations
The architecture's flexibility and scalability have also facilitated its application beyond NLP, influencing fields like computer
Overall, transformerarkkitehtuureja represent a foundational shift in neural network design, emphasizing attention mechanisms and parallel processing,