Simple Summarization on DeepSeek-R1 from DeepSeek AI
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Simple Summarization on DeepSeek-R1 from DeepSeek AI
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The RL stage is very important. 
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The RL stage is very important. 
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↳ However, it is difficult to create a truly helpful AI for people solely through RL. 
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↳ However, it is difficult to create a truly helpful AI for people solely through RL. 
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↳ So, we applied a learning pipeline consisting of four stages: providing a good starting point, reasoning RL, SFT, and safety RL, and achieved performance comparable to o1. 
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↳ So, we applied a learning pipeline consisting of four stages: providing a good starting point, reasoning RL, SFT, and safety RL, and achieved performance comparable to o1. 
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↳ Simply fine-tuning other open models with the data generated by R1-Zero (distillation) resulted in performance comparable to o1-mini.
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↳ Simply fine-tuning other open models with the data generated by R1-Zero (distillation) resulted in performance comparable to o1-mini.
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Of course, this is just a brief overview and may not be of much help. All models are accessible on Hugging Face, and the paper can be read through the GitHub repository.
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Of course, this is just a brief overview and may not be of much help. All models are accessible on Hugging Face, and the paper can be read through the GitHub repository.
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Model: 
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Model: 
https://cdn-avatars.huggingface.co/v1/production/uploads/6538815d1bdb3c40db94fbfa/xMBly9PUMphrFVMxLX4kq.png
https://huggingface.co/deepseek-ai
deepseek-ai
org
resource
https://huggingface.co/deepseek-ai
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Paper: 
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Paper: 
https://github.com/deepseek-ai/DeepSeek-R1
https://github.com/deepseek-ai/DeepSeek-R1
link
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Simple Summarization on DeepSeek-R1 from DeepSeek AI

The RL stage is very important. 
↳ However, it is difficult to create a truly helpful AI for people solely through RL. 
↳ So, we applied a learning pipeline consisting of four stages: providing a good starting point, reasoning RL, SFT, and safety RL, and achieved performance comparable to o1. 
↳ Simply fine-tuning other open models with the data generated by R1-Zero (distillation) resulted in performance comparable to o1-mini.

Of course, this is just a brief overview and may not be of much help. All models are accessible on Hugging Face, and the paper can be read through the GitHub repository.


Model: https://huggingface.co/deepseek-ai
Paper: https://github.com/deepseek-ai/DeepSeek-R1

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