The Revolution of Reasoning: From Reinforcement Learning to Chain-of-Thought Optimization
An exploration of how new model architectures like DeepSeek-R1 and Trinity-Large-Thinking are moving beyond standard next-token prediction. This post examines the impact of large-scale reinforcement learning and sparse Mixture-of-Experts (MoE) on reasoning capabilities.
Artificial IntelligenceDeepSeek-R1Chain-of-ThoughtMoE