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LLM SQL BaseDatosEspanol Mistral

Developed by somosnlp
A multimodal database interaction tool supporting Spanish, generating SQL queries from voice/text commands and returning results in the most suitable modality (voice/text/image)
Downloads 48
Release Time : 4/11/2024

Model Overview

This model addresses the challenge of generating precise SQL queries in Spanish environments, combining voice input with multimodal output, and improving query accuracy through self-correction mechanisms

Model Features

Spanish Language Support
SQL generation capability specifically optimized for Spanish
Multimodal Interaction
Supports voice input and multimodal output (voice/text/image)
Self-correcting Mechanism
Automatically detects and corrects abnormal queries, improving accuracy from 80% to 87%
Parameter-efficient Fine-tuning
Uses PEFT technology for efficient fine-tuning of the base model

Model Capabilities

Spanish text comprehension
SQL statement generation
Voice command processing
Multimodal result presentation
Query auto-correction

Use Cases

Database Query
Voice-driven Data Retrieval
Users query database content via voice commands
Returns query results in voice or visual format
Business Intelligence Analysis
Non-technical personnel obtain data analysis results through natural language
Automatically generates complex SQL and returns results in chart format
Educational Applications
Database Teaching Assistant
Helps students understand the correspondence between SQL and natural language
Interactively demonstrates the conversion process from natural language to SQL
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