TEACHING MODELS TO THINK AHEAD

Summary from the TLDR AI newsletter

This article introduces "reasoning tokens" in language models, which generate additional tokens designed to predict future tokens rather than the immediate next one, thereby enhancing the model's ability to think ahead. Experiments demonstrate significant improvements in prediction accuracy, suggesting a potential for more complex reasoning without explicit step-by-step training.