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While the growth of global AI champions is remarkable, framing it as a dire "build or merely consume" scenario for India is too narrow. Being a large consumer can attract significant investment and R&D from global players into India. Our true strength might lie in applying AI to solve unique, massive Indian problems in healthcare or agriculture, rather than just competing in foundational models. India's vast talent pool can build champions in the AI application and services layer, which is equally crucial. The focus should be on strategic innovation, not just replicating foreign models.
Turning dreams into ... • 4m
India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?
Product led growth M... • 2m
Ever wondered why India needs its own AI models? 🤔 The future of our technological independence and cultural identity depends on it! Let's explore why developing indigenous AI is crucial for India's future: 👇 India's Path to AI Leadership: - Econ
See MoreExploring AI's poten... • 1m
What’s the Difference Between Narrow AI and General AI? Understanding the difference between Narrow AI and General AI is essential in today’s AI-driven world. Narrow AI, also known as Weak AI, is designed to perform a specific task—such as facial re
See MoreI'm just a normal gu... • 2m
The government has officially announced that Bengaluru-based artificial intelligence (AI) startup, Sarvam AI, is the first company selected to build an indigenous foundation model under the IndiaAI Mission. This milestone marks a significant step in
See MoreHey I am on Medial • 1y
Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m
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