Preventing AI bias: How to ensure fairness in data annotation
What is bias in AI? AI bias occurs when an AI model generates results that systematically replicate erroneous and unfair assumptions, which are picked up by the algorithm during the machine learning process. For example, if an AI system designed to diagnose skin cancer from images is primarily trained with images of patients with fair […]
Golden datasets: Evaluating fine-tuned large language models
What is a golden dataset? A golden dataset is a curated collection of human-labeled data that serves as a benchmark for evaluating the performance of AI and ML models, particularly fine-tuned large language models. Because they are considered ground truth — the north star for correct answers — golden datasets must contain high-quality data that […]