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Berkeley Researchers Replicate DeepSeek R1's Core Tech for Just $30: A Small Mod
A Berkeley AI Research team led by PhD candidate Jiayi Pan has achieved what many thought impossible: reproducing DeepSeek R1-Zero's key technologies for less than the cost of a dinner for two.
A Berkeley AI Research team led by PhD candidate Jiayi Pan has achieved what many thought impossible: reproducing DeepSeek R1-Zero's key technologies for less than the cost of a dinner for two. Using the countdown game as their testing ground, the team demonstrated that even modest language models can develop complex problem-solving strategies through reinforcement learning. Surprisingly, the choice of reinforcement learning algorithm (PPO, GRPO, or PRIME) proved less critical than expected, with all approaches achieving similar results.
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