Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu
The episode discusses 'Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu.' Hosts analyze how AI models can effectively detect hate speech in languages lacking massive digital data, demonstrating that advanced, parameter-efficient methods allow local communities to build sophisticated digital safety tools.