# BLOOMZ and mT5 Fine-Tuning: Optimizing Large Language Models for a Low-Resource Language This rep
This work explores fine-tuning OpenAI's Whisper automatic speech recognition (ASR) model for Amharic
Euphemisms are culturally variable and often ambiguous, posing challenges for language models, espec
Overview The research paper "Fine-Tuning mBART-50 for Akkadian-to-English Translation" by Frank Mor
Abstract Background. Insurance penetration in Kenya stands at roughly 2.3% of GDP,
The rise of Large Language Models has not been inclusive of all cultures. The models are mostly trai