Test Time Training Will Take LLM AI to the Next Level
by Brian Wang from NextBigFuture.com on (#6S8R2)
MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of thought) next year. Test-time training (TTT) for large language models typically requires additional compute resources during inference compared to standard inference. ...