R-Zero: A Method For Training Reasoning LLMs With Zero Data Is Here
SMRTR summary
Researchers have developed R-Zero, a groundbreaking framework allowing language models to autonomously create training data and improve themselves without human input. This self-evolving approach could help overcome limitations of human-curated data, potentially enabling LLMs to surpass human intelligence capabilities and advance toward artificial superintelligence.
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