Explore how adding special pause tokens during training and inference gives language models extra computation cycles, improving performance across tasks without increasing model size.
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Uncovering Mesa-Optimization in Transformers
Explore Google DeepMind’s research revealing how large language models develop internal optimization algorithms that enable in-context learning without parameter updates.