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Using the Devin AI agent to automate the creation of pixel-perfect product tutorials at scale, achieving results superior to human-made tutorials with improved consistency and parallel processing capabilities.
Mu Shen's deep learning paper reading project on GitHub includes in-depth reading videos of major papers such as GPT-4, Llama 3.1, Sora, etc. Each video is about 1 hour, suitable for AI researchers and developers to deeply understand classic papers.