Difference Between Pragna-1B and Other Open-Source Multilingual AI Models
Features |
Pragna-1B |
mBERT |
XLM-Roberta |
---|---|---|---|
Focus |
Indian Languages (Hindi, English, Bengali, Gujarati) |
Multilingual (100+ Languages) |
Multilingual (100+ Languages) |
Model Type |
Decoder-only Transformer |
Masked Language Model (MLM) |
Masked Language Model (MLM) |
Open-Source |
Yes |
Yes |
Yes |
Strengths |
Efficient, Culturally-aware of Indian languages |
Versatile, Handles many languages |
Versatile, Handles many languages |
Best suited for |
NLP tasks in Indian languages |
General-purpose NLP tasks |
General-purpose NLP tasks |
Parameter Size |
1.25 Billion |
137B or 3 Billion |
650M or 1.5 Billion |
mBERT and XLM-Roberta are powerful models, but they may require more fine-tuning for tasks specific to Indian languages. Pragna-1B’s focus on Indian languages and its efficiency make it a strong choice for developers working in that region.
Soket AI Partners Google Cloud To Launch Multilingual AI Model
Indian AI is witnessing a big step forward with the introduction of Pragna-1B. This new initiative is a collaboration between Soket AI Labs, a leading Indian AI research firm, and Google Cloud, the global tech giant. Pragna-1B is a game-changer designed specifically to bridge the language gap in India. As India’s first open-source multilingual AI model, Pragna-1B provides developers with cutting-edge Machine Learning (ML) and Natural Language Processing (NLP) capabilities.
Read In Short:
- Soket AI Labs partners with Google Cloud to unveil Pragna-1B, India’s first open-source multilingual AI model.
- Pragna-1B provides developers with advanced Multilingual Language Processing (MLP) capabilities, catering to Hindi, English, Bengali, and Gujarati.
- The open-source nature of Pragna-1B fosters collaboration and accelerates the development of Vernacular language AI solutions in India.
Contact Us