Natural Language to SQL (GenAI) - Prompt Engineering and Evaluation
OtherTextPrompt Response Writing SFT
Designed and implemented a workflow to convert natural language queries into SQL using large language model (LLM) prompts. Processed user queries, generated corresponding SQL statements, and retrieved structured results for evaluation. Applied prompt engineering techniques to bridge natural language inputs and database queries for GenAI applications.
• Developed prompt templates to facilitate accurate SQL generation
• Evaluated LLM outputs for correctness and relevance
• Ensured coverage across a variety of query intents and database schemas
• Supported the creation of a natural language–driven analytics interface
Designed and implemented a workflow to convert natural language queries into SQL using large language model (LLM) prompts. Processed user queries, generated corresponding SQL statements, and retrieved structured results for evaluation. Applied prompt engineering techniques to bridge natural language inputs and database queries for GenAI applications. • Developed prompt templates to facilitate accurate SQL generation • Evaluated LLM outputs for correctness and relevance • Ensured coverage across a variety of query intents and database schemas • Supported the creation of a natural language–driven analytics interface
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