Build a Production‑Ready SQL Evaluation Engine for LLMs
📰 Dev.to · kasi viswanath vandanapu
Learn to build a production-ready SQL evaluation engine for Large Language Models (LLMs) to improve text-to-SQL systems
Action Steps
- Design a SQL evaluation engine architecture using a modular approach
- Implement a parser to parse SQL queries and generate an abstract syntax tree (AST)
- Develop a semantic analyzer to analyze the AST and generate a semantic representation
- Build an execution engine to execute the semantic representation and generate results
- Test and optimize the SQL evaluation engine for performance and accuracy
Who Needs to Know This
Data scientists and software engineers working on LLMs and text-to-SQL systems can benefit from this knowledge to improve the accuracy and efficiency of their models
Key Insight
💡 A modular architecture and semantic analysis are key to building an efficient and accurate SQL evaluation engine for LLMs
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🚀 Build a production-ready SQL evaluation engine for LLMs to improve text-to-SQL systems! 🤖
Key Takeaways
Learn to build a production-ready SQL evaluation engine for Large Language Models (LLMs) to improve text-to-SQL systems
Full Article
Intro When I first started building a text‑to‑SQL system, the obvious thing was to run the...
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