Phase 2 – AI & Machine Learning & Deep Learning & Data Science fundamentalsNatural Language Processing (NLP)
Models & Architectures
2.3 · Natural Language Processing (NLP)
What You'll Learn
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Sequence Models: RNN, LSTM, GRU, seq2seq with attention
Transformers: modern replacement for many sequence models; see the dedicated Foundations: Transformers & LLMs section for transformer specifics (self-attention, encoder/decoder variants, pretraining, PEFT, RAG, multilingual models).
