1.1 KiB
1.1 KiB
id, title, category, status, canonical_id, duplicate_of, aliases, source_trust_level, confidence_score, verification_status, tags, last_reinforced, github_commit
| id | title | category | status | canonical_id | duplicate_of | aliases | source_trust_level | confidence_score | verification_status | tags | last_reinforced | github_commit | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wiki-2026-0508-sequence-modeling | Sequence Modeling | 10_Wiki/Topics | duplicate | sequence-to-sequence-models | Sequence-to-Sequence-Models | A | 0.9 | redirected |
|
2026-05-10 | pending |
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.
🔗 Graph
- 부모: Sequence-to-Sequence-Models (canonical)
- 인접: Selective State Space Models (Mamba) · Transformer · RNN
🕓 변경 이력
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | 중복 처리 — canonical 문서로 redirect |