A Technical Tour of the DeepSeek Models from V3 to v3.2
7 days ago
- #DeepSeek
- #LLM
- #Reinforcement Learning
- DeepSeek V3.2 is the latest flagship open-weight model from DeepSeek, offering performance comparable to GPT-5 and Gemini 3.0 Pro.
- The model builds on previous versions (V3, V3.1, and V3.2-Exp) with architectural improvements like Multi-Head Latent Attention (MLA) and DeepSeek Sparse Attention (DSA).
- DeepSeek V3.2 introduces self-verification and self-refinement techniques from DeepSeekMath V2 to improve reasoning accuracy.
- The Reinforcement Learning with Verifiable Rewards (RLVR) pipeline is enhanced with updates to the GRPO algorithm for better stability and efficiency.
- DeepSeek V3.2-Speciale is an extended-thinking variant optimized for reasoning tasks with longer responses.
- The model maintains computational efficiency through MLA and DSA, reducing memory usage and improving inference speed.