What are the differences between DeepSeek models?
DeepSeek released multiple AI models, including V3, R1, R1-Zero, and distilled models, each with unique training methods and performance enhancements.
MAIN POINTS FROM TRANSCRIPT
- DeepSeek's V3 model had a $5.6 million training cost, with a base and instruction-tuned version.
- R1 and R1-Zero models were post-trained differently, with R1-Zero using reinforcement learning only.
- R1 model combines fine-tuning and reinforcement learning, powering DeepSeek chat apps.
- Distilled models use pre-trained third-party models, fine-tuned with synthetic data from DeepSeek-R1.
TAKEAWAYS
- DeepSeek's V3 model is notable for its high training cost and foundational role in subsequent models.
- R1-Zero's unique training excludes reinforcement learning, enhancing reasoning performance.
- R1 model's combination of techniques addresses R1-Zero's limitations for broader application.
- Distilled models leverage existing open-source models, enhancing them with DeepSeek's synthetic data.