LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.

The Multi-Feature Tagger of English (MFTE) was originally based on the MFTE Perl (Le Foll 2021). The present, substantially improved Python version considerably expands the number of tagged features.

If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into ...