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jingyaogong
Index Rank140
2 Tools
Jingyao Gong is a Chinese AI researcher who completed a B.Eng. in Software Engineering and an M.S. in Artificial Intelligence at Nanjing University (graduating 2025). He published at AAAI 2024, received China's National Scholarship for Graduate Students, and focuses his open-source work at the intersection of large language models, reinforcement learning, and vision-language systems.
Tools
MiniMind(github.com/jingyaogong/minimind)
A lightweight 64M parameter GPT model that can be trained from scratch in just 2 hours on a single RTX 3090. Provides complete training pipeline including pretraining, SFT, LoRA, RLHF, and tool use capabilities.
MiniMind-V(https://github.com/jingyaogong/minimind-v)
Train a 65M-parameter vision-language model from scratch in just 2 hours — readable, didactic implementation for learning VLM internals.