Transformer Model

Definition ∞ A Transformer Model is a type of neural network architecture that processes sequences of data, widely recognized for its effectiveness in natural language processing tasks. It utilizes a self-attention mechanism, allowing it to weigh the importance of different parts of the input sequence when producing an output. This architecture has significantly advanced capabilities in language translation, text generation, and other AI applications. It excels at capturing long-range dependencies within data.
Context ∞ Transformer models are at the forefront of artificial intelligence news, driving rapid advancements in large language models and generative AI. Discussions often concern their computational demands, the vast datasets required for training, and ethical considerations surrounding their deployment, such as bias and misinformation generation. Future research is focused on improving their efficiency, reducing their environmental impact, and expanding their applicability to new domains beyond text, including image and video processing.