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Sequence Modeling

이 문서는 Sequence-to-Sequence-Models 의 중복본입니다. Canonical 문서로 redirect.

핵심 요약 (broader scope notes)

  • Sequence modeling 은 매 seq2seq 의 superset — language model (autoregressive density), classification (encoder + head), tagging 도 포함.
  • Architecture family: RNN, LSTM, GRU, Transformer, SSM (Mamba), Hyena, RWKV.
  • 매 2026 default: Transformer for general, Mamba/Hybrid for ultra-long context.

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🕓 변경 이력

날짜 변경
2026-05-08 Phase 1
2026-05-10 중복 처리 — canonical 문서로 redirect