
LLM数据标注:是否胜过人类?
数据科学家花费 80% 以上的时间来准备数据,这其中主要是数据清洗、数据标注。随着 GPT-4 等大型语言模型 (LLM)的兴起,现在我们可以更高效的准备工作。在本文中,我们将探讨如何使用 LLM 进行数据标注,以提高文本注释的准确性、效率和可扩展性,并最终为 ML 项目带来更好的结果。 Data scientists spend over 80% of their time preparing data, including data labeling. With the rise of Large Language Models (LLMs) like GPT-4, we now have the tools to streamline this process significantly.In this article, we’ll explore how to use LLM for data labeling to enhance the accuracy, efficiency, and scalability of text annotations and ultimately drive better outcomes for ML projects....