Enabling small language models to solve complex reasoning tasks
SMRTR summary
MIT researchers developed DisCIPL, a system where large language models create plans and distribute tasks to smaller, more efficient models working in parallel. This collaborative approach enables small language models to match the accuracy of advanced systems like OpenAI's o1 while using 80% less cost and significantly less computing power.
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