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Soket AI’s Plan to Build 7 Bn Open Source Indic LLM Within 6 months

  • Soket AI Labs, part of IndiaAI Mission, plans to build a 7 billion parameter open-source Indic LLM within 6 months.
  • Led by CEO Abhishek Upperwal, the company aims to scale the project to 120 billion parameters over time.
  • The roadmap includes building smaller models first to test architecture and data alignment before the final build.
  • Soket AI focuses on sectors like defense, healthcare, and education for model optimization.
  • The data strategy involves intense focus on Indian languages and sectors, including creating new benchmarks.
  • Partnerships with IIT Gandhinagar aid in data generation, including through translation and augmentation strategies.
  • Despite challenges in receiving GPU support from the government, Soket plans to access computational power for cloud-based scaling.
  • Soket emphasizes building culturally authentic models for Indian languages, aiming to address dialect nuances and grammatical mistakes not covered by existing global models.
  • The project encourages collaboration and open-sourcing in the AI community, focusing on research acceleration rather than immediate commercial products.
  • CEO Upperwal believes in the long-term success potential of such initiatives despite initial criticisms and challenges.

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