What are transformers in AI?
An example of an AI chatbot conversation about understanding transformers in AI.
What are transformers in AI?
Transformers are a type of neural network architecture that excel in processing sequential data, like text.
How do transformers differ from RNNs?
Unlike RNNs, transformers use self-attention mechanisms, allowing them to process all input data simultaneously.
Can you explain self-attention in simple terms?
Self-attention helps the model weigh the importance of different words in a sentence, regardless of their position.
What are some applications of transformers?
Transformers are used in various applications, including language translation, text summarization, and chatbots.
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