File size: 2,335 Bytes
646038b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
language: en
tags:
- data-analytics
- dashboard
- AI
- visualization
license: mit
---
# 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}}
}
|