SMRTR ProgrammingNov 16, 2025Daily.dev

How to get Gemini to deeply understand your database

SMRTR summary

Google's Gemini 2.5-pro achieved the top score of 76.13 on the industry-standard BIRD benchmark for converting natural language to SQL queries, surpassing all other single-model solutions. This breakthrough was accomplished through rigorous data filtering, specialized multi-task training, and self-consistency techniques, directly improving Google's database products like AlloyDB and BigQuery for real-world applications.

SMRTR provides this summary for quick context. The original article belongs to Daily.dev.

Read the original article
SMRTR Programming

Get the next batch of curated stories in your inbox.

This archive is built from SMRTR newsletter stories. Subscribe for hand-picked stories without the extra noise.

Related Stories

Browse Programming
ProgrammingAug 25, 2026

The End of Programming

AI rewrote Bun's entire JavaScript runtime—one million lines of code in eleven days—for ~$165,000, with minimal human involvement. As AI-generated code surges exponentially,...