How do transformers improve AI models?

What are transformers in AI?

Transformers are a type of neural network architecture that excel in processing sequential data, like text.

How do they improve the performance of AI models?

They allow models to understand context better by using mechanisms like self-attention, which helps in capturing relationships in data.

Can you give an example of a transformer model?

Sure! BERT and GPT are popular transformer models that have significantly advanced natural language processing tasks.

What are the advantages of using transformers over traditional models?

Transformers handle long-range dependencies better, are more parallelizable, and often achieve state-of-the-art results.