Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference
Amazon Nova Micro just became the cheapest way to deploy text-to-SQL in production. Here's how.
Why it matters
AWS demonstrates a production-ready, cost-efficient approach to fine-tuning smaller models for enterprise SQL generation—signaling a shift toward smaller, cheaper alternatives to large foundation models for specialized tasks.
The key facts
10 to knowAmazon Nova Micro fine-tuning for custom SQL dialect generation
Two approaches to cost optimization demonstrated
Amazon Bedrock on-demand inference pricing model
Production-ready performance claims
Focus on cost efficiency over raw capability
Amazon Nova Micro fine-tuned for custom SQL dialect generation
Two approaches demonstrated for cost-efficient implementation
Uses Amazon Bedrock on-demand inference
Production-ready performance claimed
Focus on cost efficiency vs. enterprise model alternatives
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance.
