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Implementing Modern Mainstream AI Algorithms in Zero-Dependency Single File
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This is a teaching project designed specifically for learning AI algorithms, including 30 zero-dependency, single-file, directly runnable Python implementations covering from basic GPT to fine-tuning (LoRA, PPO) and inference optimization (Flash Attention), etc. Each algorithm is implemented with easy-to-understand code, accompanied by corresponding Manim animations for easy comprehension and learning.
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