Notes on the New Deepseek R1
Deepseek launched the Deepseek-R1 model, an open-source AI using pure reinforcement learning, which is cheaper and faster than OpenAI's o1, showing strong performance but slightly less in complex reasoning tasks.
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Deepseek has launched its new model, Deepseek-R1, which is being hailed as a significant advancement in AI technology, comparable to OpenAI's o1. This open-source model utilizes pure reinforcement learning (RL) without supervised fine-tuning, resulting in two versions: Deepseek-R1-Zero, which is trained solely through RL, and Deepseek-R1, which incorporates initial cold-start data to enhance readability and coherence. The model is reported to be approximately 30 times cheaper and five times faster than OpenAI's offering. Deepseek has also released six distilled models based on the R1 architecture, which show improved performance over their larger counterparts. While Deepseek-R1 demonstrates strong capabilities in reasoning, mathematics, and creative writing, it still falls slightly short of OpenAI's o1 in complex reasoning tasks. Notably, the model is less censored than other state-of-the-art models, although some censorship exists at the application level. The release of Deepseek-R1 has generated significant excitement in the AI community, with implications for the open-source AGI movement.
- Deepseek-R1 is an open-source AI model that rivals OpenAI's o1.
- It utilizes pure reinforcement learning, resulting in two versions with different training approaches.
- The model is significantly cheaper and faster than OpenAI's offerings.
- Deepseek-R1 shows strong performance in reasoning and creative writing but is slightly behind o1 in complex reasoning tasks.
- The model has less censorship compared to other state-of-the-art models, though some application-level censorship exists.
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