DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
DeepSeek AI has launched its first reasoning language model, R1, trained through a four-stage reinforcement learning process. R1 is MIT-licensed, competitively priced, and signifies a major milestone in reasoning model research.
Read original article
DeepSeek AI has launched its first reasoning language model, R1, which is trained through a four-stage reinforcement learning (RL) process. This model is significant as it is MIT-licensed, allowing researchers and companies to build upon it. The training process includes a "cold-start" phase using supervised fine-tuning on synthetic data, followed by large-scale RL training, and a mix of reasoning and general queries to transition to a general-purpose model. The release of R1 marks a pivotal moment in reasoning model research, which has previously lacked a clear foundational paper. The pricing of R1 is notably lower than that of OpenAI's o1 model, indicating a potential price war in the reasoning model market. While OpenAI's o3 model may be technically superior, it is not yet widely available. The R1 model's training emphasizes the importance of a strong base model and the effectiveness of RL in enhancing reasoning capabilities. The training methodology includes accuracy, format, and language consistency rewards, which are crucial for developing a stable and effective model. Overall, the advancements in R1 suggest a promising future for reasoning language models, with expectations of significant progress in the coming years.
- DeepSeek AI has released its first reasoning language model, R1, trained through a four-stage RL process.
- R1 is MIT-licensed, allowing for further development by researchers and companies.
- The pricing of R1 is significantly lower than OpenAI's o1 model, indicating a competitive market.
- The training methodology includes various reward systems to enhance model performance and stability.
- The launch of R1 represents a major milestone in reasoning model research, with expectations for rapid advancements.
Related
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.
How DeepSeek-R1 Was Built, for Dummies
DeepSeek launched DeepSeek-R1, a reasoning model trained with pure reinforcement learning, achieving performance comparable to OpenAI's o1. It features a cost-effective API and highlights open-source potential in AI.
The Illustrated DeepSeek-R1
DeepSeek-R1 is a new language model emphasizing reasoning, utilizing a three-step training process and a unique architecture. It faces challenges in readability and language mixing while enhancing reasoning capabilities.
Open-R1: an open reproduction of DeepSeek-R1
Open-R1 is an initiative to replicate and enhance the DeepSeek-R1 reasoning model, focusing on transparency in data collection and training, while encouraging community collaboration for future research advancements.
China's DeepSeek just dropped a free challenger to OpenAI's o1
Chinese AI startup DeepSeek has launched the R1 reasoning model, claiming it rivals OpenAI's o1. Trained on 14.8 trillion tokens, it offers free access but faces censorship and privacy concerns.
0 commentsRelated
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.
How DeepSeek-R1 Was Built, for Dummies
DeepSeek launched DeepSeek-R1, a reasoning model trained with pure reinforcement learning, achieving performance comparable to OpenAI's o1. It features a cost-effective API and highlights open-source potential in AI.
The Illustrated DeepSeek-R1
DeepSeek-R1 is a new language model emphasizing reasoning, utilizing a three-step training process and a unique architecture. It faces challenges in readability and language mixing while enhancing reasoning capabilities.
Open-R1: an open reproduction of DeepSeek-R1
Open-R1 is an initiative to replicate and enhance the DeepSeek-R1 reasoning model, focusing on transparency in data collection and training, while encouraging community collaboration for future research advancements.
China's DeepSeek just dropped a free challenger to OpenAI's o1
Chinese AI startup DeepSeek has launched the R1 reasoning model, claiming it rivals OpenAI's o1. Trained on 14.8 trillion tokens, it offers free access but faces censorship and privacy concerns.