TabPFN, by Prior Labs, applies the pre-trained LLM paradigm to tabular data, removing the need for traditional ML preprocessing and per-task training.
- •Pre-trained on 130M+ synthetic datasets; delivers predictions in a single forward pass without task-specific setup
- •Supports datasets up to 100K rows/2K features; enterprise versions extend to 10M rows
- •Real deployments at Taktile, NHS, and Hitachi show 10-65% accuracy gains and 90% faster workflows
- •On Databricks, Unity Catalog and MLflow provide governed, auditable ML pipeline management
Databricks