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Runnable end-to-end report combining narrative, code, and inline figures: data and .chord format, transformer working principle, two-stage training curves, perplexity (3.58 -> 2.15), distribution-shift plot with a reading legend, qualitative examples, and a generation demo. Written in a first-person student voice. - CLAUDE.md: report is now a Jupyter notebook; GOST formatting dropped - requirements.txt: add nbconvert + ipykernel (optional, for the notebook) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>