What are the applications of transformer models?

What are transformer models and where are they used?

Transformer models are a type of neural network architecture primarily used in natural language processing tasks. They excel in understanding context and relationships in text.

Can you give me some specific applications of transformer models?

Sure! Transformer models are used in various applications such as language translation, text summarization, sentiment analysis, and even in generating creative content like poetry.

How do they improve language translation compared to previous models?

Transformers use self-attention mechanisms, allowing them to consider the entire context of a sentence rather than processing it word by word, which significantly improves translation accuracy.

Are there any limitations to using transformer models?

Yes, while they are powerful, transformer models can be resource-intensive and require large datasets for training. They may also struggle with very long sequences.