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Text-to-SQL models can now achieve significantly higher accuracy by grouping and ranking SQL candidates based on execution results, then strategically resampling when the initial pool is lacking.
Data skew can cripple Snowpark UDF performance, but DySkew's dynamic redistribution slashes execution time and boosts resource utilization in real-world workloads.
