hasnainyaqub/TRANSFORMERS
Transformers are deep learning architectures that use self-attention instead of recurrence, enabling parallel sequence processing. Introduced in 2017 (Attention Is All You Need), they capture long-range dependencies effectively. Transformers power modern NLP models like BERT, GPT, T5, and BART for translation, summarization, and text generation.
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Nov 22, 2025
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