当前位置:首页 > 谷歌 >

谷歌:2024大语言模型合成数据的最佳实践和经验教训报告(英文版)

  • 2024年04月19日
  • 50 金币

The success of AI models relies on the availability of large, diverse, and high-quality datasets, which can be challenging to obtain due to data scarcity, privacy concerns, and high costs. Synthetic data has emerged as a promising solution by generating artificial data that mimics real-world patterns. This paper provides an overview of synthetic data research, discussing its applications, challenges, and future directions. We present empirical evidence from prior art to demonstrate its effect

  • 关注微信

猜你喜欢