Modern NLP with spaCy
Practical AI
Decoding NLP Models
This chapter introduces a four-step formula for understanding advanced NLP models, focusing on how discrete symbols are transformed into dense vector representations. It emphasizes the crucial role of context and explores the shift from LSTMs to transformers in neural architectures, detailing the processes of encoding, attention mechanisms, and output prediction.
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