AutoDashAnalyticsV1GGUF
AutoDashAnalyticsV1GGUF is a powerful tool designed to automate the creation of dashboards from various databases using advanced AI techniques. This model connects to SQL databases and provides interactive data visualizations through user prompts.
Model Details
- Model Name: AutoDashAnalyticsV1GGUF
- Version: 1.0
- Language: English
- License: MIT
- Tags: data-analytics, dashboard, AI, visualization
Model Description
AutoDashAnalyticsV1GGUF is developed to simplify and enhance the data analysis process for companies. It leverages a fine-tuned large language model trained on extensive datasets specifically for data analysis. The tool enables users to create detailed and interactive dashboards with minimal effort.
Features
- Automated Dashboard Creation: Automatically generates dashboards from SQL databases.
- Interactive Visualizations: Allows users to interact with the data through prompts.
- Advanced AI Capabilities: Utilizes a fine-tuned LLM for comprehensive data analysis.
- Customization: Provides options for customizing the visualizations and data representation.
Training Data
The model is trained on a diverse dataset comprising various SQL databases and data visualization examples. This ensures robust performance across different data types and structures.
Performance
AutoDashAnalyticsV1GGUF has been tested extensively to ensure high accuracy and reliability in generating dashboards. The model can handle large datasets and provide insightful visualizations efficiently.
Limitations
- The model is currently optimized for Relational databases.
- Future versions will include support for other database types.
License
This project is licensed under the MIT License.
Acknowledgements
We acknowledge the contributions of the open-source community and the developers who have supported this project.
Citation
If you use this model in your research, please cite it as follows:
@misc{AutoDashAnalyticsV1GGUF,
title = {AutoDashAnalyticsV1GGUF},
year = {2024},
publisher = {Hugging Face},
journal = {Hugging Face repository},
howpublished = {\url{
https://huggingface.co/techcodebhavesh/AutoDashAnalyticsV1GGUF}}
}
