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--- |
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language: en |
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tags: |
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- data-analytics |
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- dashboard |
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- AI |
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- visualization |
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license: mit |
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--- |
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# AutoDashAnalyticsV1GGUF |
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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. |
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## Model Details |
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- **Model Name:** AutoDashAnalyticsV1GGUF |
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- **Version:** 1.0 |
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- **Language:** English |
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- **License:** MIT |
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- **Tags:** data-analytics, dashboard, AI, visualization |
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## Model Description |
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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. |
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## Features |
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- **Automated Dashboard Creation:** Automatically generates dashboards from SQL databases. |
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- **Interactive Visualizations:** Allows users to interact with the data through prompts. |
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- **Advanced AI Capabilities:** Utilizes a fine-tuned LLM for comprehensive data analysis. |
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- **Customization:** Provides options for customizing the visualizations and data representation. |
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## Training Data |
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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. |
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## Performance |
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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. |
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## Limitations |
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- The model is currently optimized for Relational databases. |
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- Future versions will include support for other database types. |
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## License |
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This project is licensed under the MIT License. |
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## Acknowledgements |
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We acknowledge the contributions of the open-source community and the developers who have supported this project. |
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## Citation |
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If you use this model in your research, please cite it as follows: |
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@misc{AutoDashAnalyticsV1GGUF, |
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title = {AutoDashAnalyticsV1GGUF}, |
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year = {2024}, |
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publisher = {Hugging Face}, |
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journal = {Hugging Face repository}, |
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howpublished = {\url{https://huggingface.co/techcodebhavesh/AutoDashAnalyticsV1GGUF}} |
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} |
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