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Called Sarvam 2B, the model is trained on 4 trillion tokens of an internal dataset.
Called Sarvam 2B, the model is trained on 4 trillion tokens of an internal dataset.
Open-source brings much-needed clarity to the often black box of AI development
By addressing hardware and software compatibility and ease of usage, AI-driven operating systems can achieve mainstream adoption and transform the way Linux has done over the past decades.
NVIDIA chief Jensen Huang too believes that the best way to get started in AI today is to come to Databricks’ Data Intelligence Platform.
“I think open source always wins,” he added.
Stable Diffusion, Stable Studio, Waifu Diffusion, DeepFloyd IF, and Dreamlike Photoreal are among the top image generation platforms.
The 7B models outperforms Gemma and Mistral on all benchmarks and the 70B model outperforms Gemini Pro 1.5 and Claude 3 Sonnet.
India has already demonstrated its prowess in constructing open-source networks and architectures through its Digital Public Goods like UPI, DigiLocker and Aadhaar.
AI can’t advance without sharing dataset/code, and it doesn’t matter how many conferences back Open Science, researchers still aren’t making codes public
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