Little Huang: What efforts has the DeepSeek team made in engineering optimization for AI large models?
DOORM: DeepSeek optimized model architecture and training methods to reduce costs while improving performance. Their V2 and V3 versions made improvements in multi-expert architecture and attention mechanisms, significantly reducing training and inference costs.
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