High Pre-training Costs Hinder Tokenizer Optimization

Tokenizer optimization is primarily hindered by the extremely high cost and slow pace of pre-training, which creates a long feedback loop that makes iterative experimentation difficult.

2026-07-29 ~ 2026-07-29 · 2 related posts

• Why tokenizer optimization is hard: expensive pretraining, slow feedback, and non-differentiable design — paul_cal · 2026-07-29
• Why tokenizers still resist end-to-end optimization despite years of pretraining — seanmcdonaldxyz · 2026-07-29