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The Math Behind DeepSeek: A Deep Dive into Group Relative Policy Optimization (GRPO)
GRPO is an innovative reinforcement learning algorithm that improves LLM reasoning by comparing groups of responses without needing a critic model, significantly reducing computational costs. The appr
oach has proven highly effective, enabling DeepSeek models to achieve exceptional performance in complex reasoning tasks while maintaining efficiency and scalability.

Reasons to Read -- Learn:

  • how GRPO revolutionizes LLM training by eliminating the need for critic models, potentially reducing your computational resources by half compared to traditional PPO methods.
  • how DeepSeek achieved remarkable results on mathematical reasoning tasks, with specific performance metrics like 71.0% Pass@1 score on AIME 2024, which increased to 86.7% with majority voting.
  • detailed mathematical framework behind GRPO, including step-by-step explanations of its objective function and how it implements group-based advantage calculations for more efficient model training.
  • publisher: @sahin.samia
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