DeepSeek-R1 Brings Advanced Reasoning to Open-Weight Models

DeepSeek-R1 followed OpenAI's o1 rather than introducing reasoning models first, but it changed who could examine and deploy them. DeepSeek-R1-Zero developed behaviours such as self-verification and strategy adjustment through large-scale reinforcement learning without supervised fine-tuning as a preliminary stage. The full R1 model added initial training data to improve readability and reduce problems such as repetition and language mixing. DeepSeek released model weights and smaller distilled variants based on Llama and Qwen, widening access while leaving training-data transparency and the hardware demands of the full model as important limitations.