The Sequence Knowledge #882: A New Series About Distillation
A deep dive into one of the most important techniques in modern AI.
TL;DR
- AI progress has historically been driven by scale (bigger models, datasets, GPUs, parameters).
- Scale has led to highly capable AI but also created problems like expense, slowness, and centralization.
- Many real-world use cases do not require the largest general-purpose models.
- Distillation is becoming central to creating specialized, efficient, and practical AI solutions.
- Enterprises seek reliable competence over generic brilliance.