DeepSeek-V3: A Frontier Model Trained for $5.6M — How? | 5-Min Bite

Описание: DeepSeek-V3 matched frontier models for a training bill of about $5.6M — a fraction of the usual cost. It's not one trick, it's four, stacked: a Mixture-of-Experts that wakes only 37B of its 671B parameters per token, a load-balancer with no auxiliary loss, FP8 training, and multi-token prediction. Here's how each one buys efficiency without giving up quality.

📄 Paper: DeepSeek-V3 Technical Report (arXiv:2412.19437)

⏱️ Chapters
0:00 A frontier model, trained cheap
0:48 DeepSeekMoE routing
1:27 Auxiliary-loss-free load balancing
2:37 FP8 training
3:38 Multi-token prediction & DualPipe
4:41 Results
5:23 Recap

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