The Shift from Symbolic AI to Deep Learning in Natural Language Processing
SMRTR summary
Modern large language models employ transformer architectures and word embeddings to capture complex linguistic relationships, surpassing earlier symbolic and stochastic approaches in processing long sequences and representing contextual meaning.
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