Deepseek's R1 Reasoning model is live and open source
DeepSeek-R1
1. Introduction
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
2. Model Summary
Post-Training: Large-Scale Reinforcement Learning on the Base Model
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We directly apply reinforcement learning (RL) to the base model without relying…
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DeepSeek-R1 and DeepSeek-R1-Zero are setting new standards in AI reasoning with their groundbreaking architectures and innovative training methodologies.
From the advanced Mixture of Experts design in DeepSeek-R1 to the autonomous reinforcement learning approach of R1-Zero, these models deliver unmatched accuracy, efficiency, and scalability.
In our latest blog, we explore how these transformative models could be integrated into platforms like GoCodeo to redefine developer workflows. With potential features like context-aware code generation, real-time debugging, and automated code reviews, these advancements promise to enhance productivity and innovation.
Discover the future of AI-powered development and what it could mean for developers worldwide.
👉 Read the full blog here: gocodeo.com/post/deepseek-r1-and-d...