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Traditional AI agents struggled with "multi-hop" reasoning (complex problems requiring several connected steps) because they lacked diverse training data and required massive computing power. The Hidden Cost of "Free": Understanding the Risks
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Key Components:
: Researchers estimate that this method can reduce training costs significantly, achieving results for roughly $30 in GPU time that would otherwise cost thousands in human labeling. Potential Risks While revolutionary, the framework faces challenges like reward hacking
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