使用 🤗 Evaluate 評估大型語言模型的偏見
Original: Evaluating Language Model Bias with 🤗 Evaluate
As large language models (LLMs) become widely used across various domains, the issues of bias and toxicity in model outputs have received…
Hugging Face 推出 evaluate 函式庫，旨在簡化機器學習模型的評估流程。本文重點介紹如何利用該工具評估語言模型中的偏見與毒性，包含使用 regard、toxicity 等評估指標。透過標準化的評估流程，開發者能更輕易地量化模型在性別、種族等維度上的潛在社會偏見，從而打造更安全、公平的 AI 應用。
As large language models (LLMs) become widely used across various domains, the issues of bias and toxicity in model outputs have received increasing attention. This official Hugging Face blog post introduces how to use their open-source `evaluate` library to systematically assess and quantify social bias in language models.
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