Bias in the age of generative AI: a deep dive into autoregressive model fairness
This study presents a comprehensive evaluation of biases in prominent autoregressive language models, including GPT-2, Llama-7B, and Mistral-7B. The research systematically assesses the models' performance across multiple dimensions of bias, including toxicity, gender, race, religion, and LG...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/181069 |