Hacker News AIT2·68 pts
- Offers 11 hours of hands-on PyTorch code covering the full pipeline from pre-trained LLMs to reasoning optimization
- Focuses on key techniques including Inference Scaling, Reinforcement Learning (RL), and Knowledge Distillation
- Serves as a visual companion to the book 'Build a Reasoning Model (From Scratch)', suitable for systematic learning