Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale

1. 1Design a self-hosted large language model with 8B parameters
2. 2Apply a two-phase fine-tuning method to adapt the model for text-to-SQL tasks
3. 3Optimize the model for low-latency and cost-efficient deployment
4. 4Evaluate the model's performance on text-to-SQL tasks at scale

Data scientists and AI engineers on a team can benefit from this method to improve the efficiency of text-to-SQL tasks, while product managers can leverage this to enhance conversational bot capabilities

💡 A two-phase fine-tuning method can significantly improve the efficiency of text-to-SQL tasks

💡 Efficient text-to-SQL at scale with a self-hosted 8B-parameter model