An Algorithm for Computing Optimal Tokenizers in Practice
By
mcyc
A five-star bake. Worth schmearing, sharing, saving.
Summary
This article presents an algorithm capable of computing an optimal tokenizer in certain settings, despite optimal tokenization being theoretically intractable. The author draws parallels to the Traveling Salesman Problem (TSP), where difficult instances can be solved optimally using cutting-plane techniques. The post explores the practical solvability of a theoretically hard problem in natural language processing.
Key quotes
· 3 pulledIn this post, I will present an algorithm that was able to compute an optimal tokenizer in some settings.
This result is cool because optimal tokenization is theoretically intractable, but seems to be solvable in practice.
My finding is very similar to various results on the Traveling Salesman Problem (TSP), where even difficult instances can be solved optimally using cutting-plane techniques.
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