Source : Glocal Startups.com
🚀 Born in INDIA: The Story Behind Sarvam AI
Started in 2023 by Vivek Raghavan and Pratyush Kumar who also helped start AI4Bharat at IIT Madras, Sarvam AI began with a clear goal:
“Make AI that understands India-its languages, people, and its culture as well.”
Most AI's models in the world focused on English language first, but here Sarvam AI thought early that India needs AI that works for India, indians, and in Indian languages. 🧠
🧠 Sarvam-1: India’s Own Multispeech Engine
One big achievement from Sarvam AI is Sarvam-1, a 2-billion-parameter language model that supports 10 main Indian languages like Hindi, kannada Tamil, Telugu, Malayalam, Bengali, Marathi etc.
📊 It was trained on a special data collection called Sarvam-2T (more than 4 trillion tokens), which makes sure all these languages get correct representation-solving the problems of Rare data's in Indian languages.
✨ Why it is cool? Sarvam-1 uses a smart tokenizer that breaks down words into less pieces-about 1.4 to 2.1 tokens per word, while other models need 4 to 8 tokens. That means:
✅ 1. Fast processing
✅ 2. Less cost to run
✅ 3. Can also work on phones or small devices easily
🌐 Making India’s AI Tools
Sarvam AI is not only about the big language model. They are making the whole set of AI tools for India’s needs:
✅ Sarvam 2B: India’s first open-source 2 billion parameter Indic language model — a big help for local developers and researchers.
✅ Shuka 1.0 🎙️: India’s first AudioLM that can turn speech to text correctly in many Indian languages.
✅ Sarvam Agents 🤖: Voice-enabled business bots that speak many languages-working on WhatsApp, phone calls, or apps.
✅ A1 Workbench ⚖️: An AI toolkit for lawyers, with chat help for regulations, drafting documents, and more.
🌏 Why This Matters: Sarvam AI for India
Most AI today is controlled by big Western companies, but Sarvam AI is building a truly independent AI system that reflects Indian languages, voices, and its culture.
Whether you are a developer, lawyer, business owner, or a daily user Sarvam AI wants to give you tools that speak your language. 🗣️📱💡
The future of AI in India is not only bright-it is a multispeech, diverse, and proudly Indian. ✨
🌏 Solving India’s AI Puzzle: Connecting the Languages
India is not just one country-it is a Combination of hundreds of languages and Sub-languages, spoken everywhere. This is just amazing but also a big challenge for AI that wants to understand the real people. 🗣️🤖
Sarvam AI took this challenge head-on-to make AI that talks every Indian’s language.
📚 1. Building Good Data from Zero
One big problem is there is not enough good training data for regional languages. Sarvam AI fixed this by:
✨ Creating Sarvam-2T, a huge dataset using Man-made data generation, to capture the richness and variety of Indian languages.
This helped fill the data gap and taught the AI how people really speak in different places.
⚙️ 2. Smarter Word Splitting for Indian Scripts
Normal tokenizers do not work well on Indian languages-they are slow and costly.
Sarvam AI made a super-efficient tokenizer that needs fewer tokens per word-about 1.4 to 2.1 tokens vs 4 to 8 tokens in others.
✅ This means faster AI answers
✅ Needs less computer power
✅ Works well on low-end or far-away devices 📱
🪷 3. Training with Culture in Mind
Language is not just words-it is tied to culture, values, and real-life stories.
So Sarvam AI trains models on content that reflects India’s real culture and life.
🎯 The result? AI that does not just translate but really understands what we say and why it matters.
💬 Final Thought
Sarvam AI is not just fixing tech problems-it is breaking Challenges.
By making AI smart in language, aware of culture, and easy to run anywhere, they are giving cutting-edge tech to every Indian-no matter where or which language they speak. 🌍🧠
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