ERATTA presents a novel system that leverages multiple LLMs for efficient data extraction and response generation from large data tables. The system provides customized responses in real-time, with a focus on authentication and information retrieval.

• ERATTA combines LLMs for scalable query response
• Offers real-time data authentication and retrieval
• Customized prompts for natural language responses
• Detects and reports hallucinations in LLM responses

This work showcases the potential of LLMs in handling complex data tasks efficiently and accurately, setting a benchmark for advanced AI systems. Further research can explore the integration of diverse LLMs for more diverse applications.