Sarvam AI Unveils Sarvam-2B: A Language Model Focused on Indic Languages
Practical Solutions and Value
Sarvam AI introduces Sarvam-2B, a language model with 2 billion parameters, emphasizing Indic language processing. The model is pre-trained on a massive dataset of 4 trillion tokens, with 50% dedicated to Indic languages, promoting inclusivity and cultural representation in AI research.
The Vision Behind Sarvam-2B
Sarvam-2B aims to excel in English and champion Indic languages, addressing the linguistic diversity in India. The model supports 10 Indic languages, making it accessible to users with different linguistic backgrounds.
Technical Excellence and Implementation
Sarvam-2B is trained on a balanced mix of English and Indic language data, ensuring proficiency in both language categories. The model’s architecture and training process are meticulously designed to perform well across all supported languages.
Complementary Models
In addition to Sarvam-2B, Sarvam AI introduces Bulbul 1.0, Saaras 1.0, and Mayura 1.0, enhancing its capabilities in text-to-speech, speech-to-text, and translation API, respectively.
Conclusion
Sarvam AI’s launch of Sarvam-2B and its complementary models positions the company as a leader in developing inclusive and innovative AI technologies, promoting linguistic diversity’s importance.
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If you want to evolve your company with AI, stay competitive, use for your advantage Sarvam AI Releases Samvaad-Hi-v1 Dataset and Sarvam-2B: A 2 Billion Parameter Language Model with 4 Trillion Tokens Focused on 10 Indic Languages for Enhanced NLP.
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