Sebastian Raschka's Reasoning From Scratch Video 5 Covers Log-Probability Scoring
Log-probability scoring underlies loss functions like cross-entropy in pre-training and distillation, so the material transfers well beyond answer ranking. Practitioners building inference-time scaling or self-refinement pipelines can follow along with the timestamped PyTorch implementations and the MATH-500 evaluation setup. It is a hands-on complement to reading papers on reasoning methods.
