Transformers in 100 Seconds
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Transformers are the breakthrough AI architecture powering modern language models. At their core, they process text by splitting it into tokens - pieces of words and punctuation. Using a mechanism called "attention," transformers scan each token to understand its relationship with every other token, capturing the full context of language.
The key innovation is parallel processing - unlike older models that read text sequentially, transformers analyze all words simultaneously. The architecture has two main parts: an encoder that understands input text, and a decoder that generates output. Each uses multiple layers of attention to refine its understanding.
When trained on massive text datasets, transformers can recognize patterns in language to perform tasks like completing sentences, answering questions, and writing coherent text. Their ability to maintain context over long sequences while processing efficiently made them revolutionary.
Current language models like GPT-4 build on this foundation with hundreds of billions of parameters, enabling increasingly sophisticated language understanding and generation. This elegant architecture that debuted in 2017 transformed AI by making truly natural language interaction possible.
#Transformers #AI #MachineLearning #NLP #DeepLearning
