Can you tell me about the history of transformer models in AI?
Sure! Transformer models were introduced in the paper 'Attention is All You Need' by Vaswani et al. in 2017.
What are the key features that made transformers popular?
Transformers use self-attention mechanisms, allowing them to process sequences of data more efficiently than previous models.
How have transformers evolved since their introduction?
Since 2017, transformers have evolved with various architectures like BERT, GPT, and T5, improving tasks like translation and text generation.
What are some real-world applications of transformer models?
Transformers are used in natural language processing tasks, such as chatbots, translation services, and content generation.
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