Amazon
NewForecasting

Mitra-v2: Scaling synthetic pretraining for tabular foundation models

Our short summary of Amazon’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on amazon.science (opens in a new tab)

Problem

Creating a new model for every table required lots of engineering and tuning.

Solution

Trained a foundation model on millions of synthetic tables so it can predict missing values on any new table without extra training.

Top performance on TabArena and ScoringBench benchmarks

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on amazon.science (opens in a new tab)

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