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Examining GRPO and DeepSeek-R1

Byacuitize

Abstract Group Relative Policy Optimization (GRPO) stands out as a remarkable advancement in reinforcement learning (RL), providing a specialized approach that has significantly enhanced the reasoning performance of DeepSeek-R1. Moreover, ongoing references suggest that the soon to be released DeepSeek-R2 may build upon similar methodologies to achieve further improvements. By examining the foundations of GRPO,…

Exploring Large Reasoning Models: The Emergence of COCONUT

Exploring Large Reasoning Models: The Emergence of COCONUT

Byacuitize

Abstract: Recent advancements in AI have led to the development of large reasoning models (LRMs) that transcend traditional reasoning methodologies. The introduction of the Chain of Continuous Thought (COCONUT) represents a pivotal shift from discrete token-based reasoning to continuous latent space reasoning. Despite the innovation of models like COCONUT, the foundation laid by naive CoT…