TabFM: What If Machine Learning Could Understand a New Dataset Without Retraining?
中文摘要
谷歌TabFM表格模型无需重训练即可理解新数据集，通过标注行作上下文，单次前向传播完成预测。
English Summary
Google's new TabFM model understands datasets without retraining. It uses labeled rows as context to predict in a single pass.
原文节选
Google’s new tabular foundation model treats labeled rows as context and makes predictions in a single forward pass. Continue reading on Medium »