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ChatLLM: From-Scratch LLM Training and Post-Training Stack

Large Language Model
Built an end-to-end LLM stack from scratch, covering scaling law experiments, compute-optimal model sizing, pre-training, supervised fine-tuning, and GRPO-based post-training. Trained a ChatGPT-style conversational model and deployed an interactive demo to showcase instruction following, reasoning, and multi-turn generation.
Author

Yuyang Zhang

Published

March 1, 2026

Keywords

LLM, Pre-Training, Scaling Laws, SFT, GRPO, Mixed Precision Training, ZeRO-2

 

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