A hands-on introduction to hypothesis testing in Python. The guide notebook walks through the full testing workflow (hypotheses, test statistic, p-value, decision) for data following normal, binomial, ...
A complete, from-scratch Reinforcement Learning from Human Feedback (RLHF) pipeline built on a 0.5B-parameter language model, trained on a single free Kaggle T4 GPU (16 GB VRAM). The objective is not ...