Machine LearningDev11 min reading time

tokenizers v1: encode, decode and scaling, measured

Hugging Face
Read the full article
Tokenizers v1 significantly improves performance over v0.23, often by tens of times, addressing tokenization bottlenecks in large-scale machine learning workflows. It maintains compatibility with previous versions while enhancing speed, scalability, and hardware support.

More in Machine Learning

Machine Learning3 min read

Microsoft launches a decision model built on Alibaba’s Qwen

The Next Web
Machine Learning12 min read

Turning Opportunistic AI Inference Capacity Into Better Ads Recommendations

Meta AI News
Machine Learning11 min read

Deploy decision models with llama.cpp on Amazon SageMaker AI

AWS Blog