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--- |
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title: README |
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emoji: 🏢 |
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colorFrom: green |
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colorTo: pink |
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sdk: static |
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pinned: false |
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--- |
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## About |
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The Odia Generative AI (in short, OdiaGenAI) is an initiative to research Generative AI and Large Language Models (LLMs) for the low-resource Odia language. |
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## Objective |
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The OdiaGenAI aims to |
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1. Build pre-trained Odia LLM, |
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2. Fine-tuned Odia LLM, and |
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3. Instruct LLM (Odia). |
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The data, code, and models will be available to the public for research and non-commercial purposes. |
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## Why OdiaGenAI |
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* **First**: Though many LLMs support multilingual, including Odia language, the performance for various tasks (e.g., content generation, question-answering) is limited due to the amount of ingested data for Odia. |
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* **Second**: There are subscriptions or fees associated with the high-performing LLMs. |
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* **Third**: The usage (privacy) and bias of data input to these LLMs are in question. |
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## What are the focus research areas of OdiaGenAI |
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We have divided the primary focus areas into three parts. |
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**1. Literature Survey:** Investigate the latest developments in Generative AI and LLMs and analyze current methods to support the Odia language for different tasks. |
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**2. Development:** Developing pre-trained and fine-tuned Odia LLM, which includes dataset preparation, model training, evaluation, prompt engineering, and API development. |
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**3. Deployment:** Deploy the Odia LLM models for public access for research and non-commercial purposes. |
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## Who can use OdiaGenAI LLMs |
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The models (pre-trained/fine-tuned) will be available through Hugging Face for research and non-commercial purposes. Feel free to contact us for a domain-specific application or particular use cases. |
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## What are the use cases of OdiaGenAI LLMs |
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There are several use cases of OdiaGenAI LLMs. Three primary domains relating to Odisha which we are focusing to use the developed LLM are: |
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* Education |
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* Healthcare |
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* Governance |
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* Tourism |
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* Agriculture |
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* Industrial Application |
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## Contributors |
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* [Shantipriya Parida (Founder)](https://www.linkedin.com/in/shantipriya-parida-9781a9127/) |
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* [Sambit Sekhar (Founder)](https://www.linkedin.com/in/sambit-sekhar-ai/) |
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* [Soumendra Kumar Sahoo](https://www.linkedin.com/in/soumendrak/) |
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* [Swateek Jena](https://www.linkedin.com/in/swateek/) |
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* [Abhijeet Parida](https://www.linkedin.com/in/a-parida/) |
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* [Dr. Satya Ranjan Dash](https://ksca.kiit.ac.in/profiles/satya-ranjan-dash/) |
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* [Guneet Singh Kohli](https://www.linkedin.com/in/guneetsk99/) |
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*About our logo:* The critically endangered [Olive Ridley](https://roundglasssustain.com/photostories/olive-ridley-turtles-endangered) sea turtle is the world's smallest and most prevalent marine turtle. Travel thousands of kilometers in the ocean for nesting. The Gahirmatha Marine Sanctuary in [Odisha](https://en.wikipedia.org/wiki/Odisha) is the largest known mass nesting rookery for olive ridley sea turtles worldwide. |
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## Citation |
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If you find this repository useful, please consider giving 👏 and citing: |
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``` |
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@misc{OdiaGenAI, |
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author = {Shantipriya Parida and Sambit Sekhar and Soumendra Kumar Sahoo and Swateek Jena and Abhijeet Parida and Satya Ranjan Dash and Guneet Singh Kohli}, |
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title = {OdiaGenAI: Generative AI and LLM Initiative for the Odia Language}, |
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year = {2023}, |
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publisher = {Hugging Face}, |
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journal = {Hugging Face repository}, |
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howpublished = {\url{https://huggingface.co/OdiaGenAI}}, |
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} |
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``` |
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## License |
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This work is licensed under a |
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[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. |
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[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] |
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[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png |
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[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg |
