Most open-source models focus heavily on pre-training. However, the DeepSeek-V3.2 paper reveals a shift in strategy: .
In this post, we’ll dive into the three biggest advancements that make v3.2 a game-changer for developers and AI enthusiasts alike. 1. Drastically Lower Costs with DSA + MLA Space v3.2
If you aren't looking for AI, you might be interested in these other recent "Space" related v3.2 updates: Most open-source models focus heavily on pre-training
You get faster inference and lower hardware requirements without sacrificing the model's "brainpower." 2. Intentional Post-Training Scaling Space v3.2