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
While typical models spend 1–2% of their budget on post-training, v3.2 allocated . Most open-source models focus heavily on pre-training
Below is a blog post template centered on the latest AI breakthrough, . Pushing the AI Frontier: What’s New in DeepSeek-V3.2? Space v3.2
If you aren't looking for AI, you might be interested in these other recent "Space" related v3.2 updates: