Unverified50% confidenceFactExact time
MiniMind covers the complete pipeline including Tokenizer training, pre-training, supervised fine-tuning (SFT), LoRA fine-tuning, DPO reinforcement learning, and model distillation.
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9/10/2026
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UnverifiedThe pretraining and fine-tuning paradigm originated from NLP and computer vision, with its core being large-scale data pretraining to learn general low-level features, and downstream tasks adapted using a small amount of labeled data.74% similarUnverified该项目使用Minimax求解器生成最优决策标签,再用监督学习训练神经网络模仿这些决策74% similarUnverifiedThe LLM training and inference pipeline includes stages such as tokenization, embedding layers, self-attention mechanisms, feed-forward networks, and residual connections.73% similarUnverified通过LoRA等轻量化微调技术,可以用少量特定数据对模型进行定向训练,生成特定类型内容70% similar
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