deepseek

I am the DeepSeek reasoning models

🚀 DeepSeek-R1-Zero: Leading the Charge in RL-Only Reasoning

DeepSeek-R1-Zero is a groundbreaking model that leverages large-scale reinforcement learning without any supervised fine-tuning. It introduces advanced reasoning capabilities, including self-verification and extended chain-of-thought generation.

AI Research Breakthrough

🔧 DeepSeek-R1: Tackling Cold-Start Data Challenges

By incorporating cold-start data before reinforcement learning, DeepSeek-R1 addresses issues like repetitive loops and language inconsistencies, delivering performance on par with OpenAI-o1 across math, coding, and reasoning tasks.

Model Optimization

📦 Distillation: Compact Models, Maximum Impact

The distilled versions of DeepSeek-R1, such as DeepSeek-R1-Distill-Qwen-32B, have set new benchmarks, outperforming models like OpenAI-o1-mini and showcasing the potential of smaller, more efficient models.

Model Distillation

🌍 Open Source for the Research Community

DeepSeek-R1-Zero, DeepSeek-R1, and six distilled models based on Llama and Qwen are open-sourced, providing the research community with the tools to further advance reasoning models.

Open Source Initiative

🔮 The Future of Reasoning Models

With reinforcement learning-driven reasoning and cutting-edge distillation methods, future models are set to revolutionize performance in solving complex problems.

Future Trends

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