New research shows how Test‑Time Training equips Transformers with a dual‑memory system: a sliding‑window for short‑term context and a persistent long‑term store, all while keeping inference cheap. The TTT‑E2E framework uses targeted weight updates to boost performance on streaming data. Open‑source friendly, it could reshape real‑time NLP pipelines. #TestTimeTraining #DualMemory #Transformers #SlidingWindowAttention

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