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- ## Panda Villa Tech Limited
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  <p align="center">
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- <img src="https://raw.githubusercontent.com/PandaVT/DataTager/main/assert/PandaVilla_logo.jpg" width="650" style="margin-bottom: 0.2;"/>
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  <p>
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  <h5 align="center"> Grow Together ⭐ </h5>
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- <h4 align="center"> [<a href="https://github.com/PandaVT/DataTager">GitHub</a> | <a href="https://datatager.com/">DataTager</a>]</h4>
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  **Long-term Focus:**
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  **Product:** DataTager
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- **Website:** [DataTager.com](https://DataTager.com/)
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  - **Description:** DataTager is a tool designed to evaluate and generate the training data needed for large language models. We believe it's more important for individuals and enterprises to fine-tune large models easily and create models tailored to their specific business needs, rather than just choosing models with the highest benchmarks.
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  - We have open-sourced various subtask datasets across multiple domains to support the community. These resources are available on our website for anyone interested in specific task fine-tuning.
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- Explore more on how to fine-tune your tasks efficiently with our resources at [DataTager.com](https://DataTager.com/).
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+ ## Pandalla.ai
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  <p align="center">
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+ <img src="https://raw.githubusercontent.com/pandalla/pandalla.ai/refs/heads/main/public/images/logo/pandalla.svg" width="650" style="margin-bottom: 0.2;"/>
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  <p>
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  <h5 align="center"> Grow Together ⭐ </h5>
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+ <h4 align="center"> [<a href="https://github.com/pandalla/pandalla.ai">GitHub</a> | <a href="https://pandalla.ai/">DataTager</a>]</h4>
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  **Long-term Focus:**
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  **Product:** DataTager
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+ **Website:** [Pandalla.AI](https://pandalla.ai/)
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  - **Description:** DataTager is a tool designed to evaluate and generate the training data needed for large language models. We believe it's more important for individuals and enterprises to fine-tune large models easily and create models tailored to their specific business needs, rather than just choosing models with the highest benchmarks.
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  - We have open-sourced various subtask datasets across multiple domains to support the community. These resources are available on our website for anyone interested in specific task fine-tuning.
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+ Explore more on how to fine-tune your tasks efficiently with our resources at [Pandalla.AI](https://pandalla.ai/).
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