Learning with not Enough Data Part 3: Data Generation
Here comes the Part 3 on learning with not enough data (Previous: Part 1 and Part 2). Let’s consider two approaches for generating synthetic data for training. Augmented data. Given a set of existing …
来源与阅读说明
发布方：Lil’Log · Lilian Weng。原文发布时间：2022-04-15。本文为外部知识索引，仅提供订阅源短摘要，不转载全文。完整论证、代码、图片和使用许可请查阅原文。
订阅源摘要
Here comes the Part 3 on learning with not enough data (Previous: Part 1 and Part 2). Let’s consider two approaches for generating synthetic data for training. Augmented data. Given a set of existing …
建议如何学习
先确认原文使用的模型、工具版本与前置知识，再选择一个最小示例动手复现。记录输入、输出和失败原因；涉及效果或性能结论时，检查其评测条件是否适合你的场景。完成后将可复用步骤记入工作台。