Conclusion

Language modeling is the foundation that makes modern LLMs understandable.

The path began with text and tokens, moved through counts and smoothing, reached neural models and recurrence, and ended at attention motivation. The next book can now study Transformers without treating them as a miracle.

The main lesson remains simple: powerful systems are built from understandable parts.