Our latest research, TTT-E2E, marks a new era for LLM memory.
Now, models can continue training during deployment, using context as training data to update their weights and learn from massive amounts of experience.
With @NVIDIAAI and @AsteraInstitute https://t.co/wEBjbDy8RT
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
Points toward models that can learn continuously from deployment experience rather than relying only on fixed weights and context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition →-window workarounds for memory.
