Context Payload Optimization for ICL-Based Tabular Foundation Models

# When AI Learns From Examples, Choosing the Right Ones Matters AI systems that work with spreadsheet-style data are getting better at their jobs when given carefully selected examples to learn from—kind of like how you'd explain a task to a colleague by showing them your best examples rather than random ones. A new approach focuses on figuring out which examples to feed these AI models so they make smarter decisions with less wasted effort. This matters for business applications because it means getting better results from AI tools without needing to build custom systems from scratch.