DeepSeek V4报告太详尽了！484天换代之路全公开 – 量子位
Quick Answer
DeepSeek V4, with 1.6 trillion parameters, showcases significant advancements in model architecture and efficiency, outperforming competitors like GPT-5.4 in benchmarks.
Quick Take
The model introduces innovative techniques such as mHC and hybrid attention, achieving a 57.9 score on SimpleQA-Verified, leading open-source models by 20 points.
Key Points
- DeepSeek V4 features 1.6 trillion parameters and 1 million token context.
- Achieved 57.9 on SimpleQA-Verified, outperforming open-source competitors.
- Introduced mHC for stable residual connections and hybrid attention mechanisms.
- Training data volume doubled to 33T tokens for V4-Pro.
- Muon optimizer used for most parameter training, enhancing efficiency.
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AI Summary
The 8-week hands-on track focuses on mastering Generative AI, , QLoRA fine-tuning, and AI Agents, enabling participants to build 8 real-world applications. This program emphasizes practical skills with over 20 Frontier and Open models, catering to developers and AI enthusiasts aiming to enhance their expertise in AI technologies.