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