|
--- |
|
title: README |
|
emoji: π |
|
colorFrom: indigo |
|
colorTo: purple |
|
sdk: static |
|
pinned: false |
|
--- |
|
## About |
|
|
|
NextGen Technologies Research Foundation (in short, NGTRF) is an initiative to research Natural Language Processing, Machine Translation for Indian languages and also research Quantum Computing and Deep Learning. |
|
Objective |
|
|
|
### NGTRF aims to |
|
|
|
* Build NLP/MT models in Indian Languages, |
|
* Fine-tuned existing models for Indian Languages, and |
|
* Train Enthusiasts in these areas. |
|
|
|
Data, code, and models will be available to the public for research and non-commercial purposes. |
|
|
|
## Why NGTRF |
|
NGTRF is a not for profit copmany which can deliever scalable products in a cost effitive manner. |
|
|
|
## What are the focus research areas of NGTRF |
|
|
|
We have divided the primary focus areas into three parts. |
|
|
|
1. Literature Survey: Investigate the latest developments in NLP/MT/QC domains and analyze current methods to support different tasks. |
|
|
|
2. Development: Developing pre-trained and fine-tuned models, which includes dataset preparation, model training, evaluation, prompt engineering, and API development. |
|
|
|
3. Deployment: Deploy the models for public access for research and non-commercial purposes. |
|
## Who can use NGTRF Models |
|
|
|
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. |
|
## What are the use cases of these models |
|
|
|
There are several use cases of these models. Three primary domains relating to Rajasthan which we are focusing to use the developed models are: |
|
|
|
Education |
|
Healthcare |
|
Governance |
|
Tourism |
|
Agriculture |
|
Industrial Application |
|
|
|
## Contributors |
|
|
|
- Nisheeth Joshi |
|
|
|
- Iti Mathur |
|
|
|
- Palak Arora |
|
|
|
- Riya Lonchenpa |
|
|
|
- Anju Krishnia |
|
|
|
- Mhasilenuo Vizo |
|
|
|
- Devanshi Suri |
|
|
|
- Martina David |
|
|
|
|
|
## License |
|
|
|
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. |
|
|