- Researchers & Academics: Study multilingual and low-resource LLM development and instruction tuning.
- Developers & Engineers: Leverage models like Odia Llama 2-7B and BengaliGPT via Hugging Face or self-hosting.
- Educators & NGOs: Deploy Odia AI solutions for education, healthcare, governance, and local language technology.
- Open-Source Contributors: Join community efforts by contributing datasets, models, or tools under permissive licenses.
- Startups & Integrators: Build narrative chatbots, content generators, AI assistants, and domain-specific bots in Odia and related languages.
How to Use OdiaGenAI?
- Select a Model: Choose from options like Odia Llama 2-7B, BengaliGPT, or Qwen 1.5 Odia model via Hugging Face.
- Deploy or Call: Use through Hugging Face Spaces, API, or download locally for private development.
- Use Prebuilt Tools: Try Olive Farm for instruction set generation, Olive Scrapper for Odia content extraction, Olive Whisper for ASR+translation.
- Fine-Tune & Extend: Build your own domain-specialized models using their LORA pipelines and public datasets.
- Join Workshops & Events: Attend annual workshops (2023–2025) to collaborate and validate your solutions.
- Low-Resource Focus: Tailored for Odia, which suffers from poor performance on mainstream LLMs—with improved language understanding.
- Multi-Lingual Expansion: Includes BengaliGPT, Odia, and future Indic language models like Hindi.
- Open-Source Openness: Models, code, and datasets are available for research and non-commercial use (CC BY-NC-SA or Apache, MIT).
- Toolkit Ecosystem: Comes with ready tools—scraping, ASR, instruction creation and fine-tuning pipelines.
- Community-Driven Workshops: Hosts annual events supporting grassroots growth, fostering collaboration across Odisha and globally.
- Focused on underserved Indic languages with genuine low-resource investment
- Offers both pretrained and instruction‑tuned models (e.g., Odia Llama 2‑7B, Qwen_1.5_Odia)
- Includes practical tools like Olive Farm, Scrapper, Whisper for multilingual workflows
- Fully open-source with permissive licenses enabling customization
- Active community with regular workshops and development events
- Models still early-stage—performance lags behind major LLMs
- Limited ASR and translation quality may need refinement
- Restricted to non-commercial use—licensing limits production deployment
- Needs more Indic language expansion and more domain-specific tuning
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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