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>
