About this document
LLMs Transforming Text-to-SQL Generation by urkanni is a document available to read on EtoBox.
Recent research highlights the effectiveness of large language models (LLMs) in translating natural language to SQL for database querying, with benchmarks indicating LLMs outperform traditional fine-tuned models. Notable systems like DB-GPT and various hybrid approaches integrate LLMs with retrieval-augmented generation (RAG) techniques to enhance SQL accuracy while maintaining data privacy. Comparative evaluations show that while closed models like GPT-4 excel in performance, open models are improving, par
- Author
- urkanni
- Language
- EN