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.
Abstract: Towards building online analytical services on big heterogeneous graphs, we study the problem of the multithreading graph aggregation. The purpose is to exploit the thread-level parallelism ...
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.
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