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I was sitting behind the bush the ig, because except for the ₹9 ChatGPT courses, I don't see anything true in this. We're surely adopting AI crazily (as he said), but when it comes to “outpacing the world”, I have no idea what he's talking about.

Need someone who knows how to deploy ai ml models and generate APIs. Please comment. Paid opportunity.

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?

👀 Blindly copying Silicon Valley-style accelerator models doesn’t work in the Indian entrepreneurial ecosystem. A homegrown approach relevant to India’s context is essential. This approach neither works for startups. 🙅

India to build its own foundational AI model 🔥 The foundational models made in India will be able to compete with the best of the best in the world,” electronics and information technology minister Ashwini Vaishnaw said at a press briefing on Thur

After selling his bootstrapped startup Wingify for $200 million, Paras Chopra is diving into artificial intelligence. His next big project is a foundational AI research lab in India, focused on building advanced models and algorithms for the world.

Building India’s Sovereign AI Foundational Model (100B+ Parameters) India’s ambition to develop a homegrown foundational AI model with over 100 billion parameters—capable of rivaling global giants like ChatGPT and DeepSeek—raises critical question

India’s AI startup scene is exploding. Silicon Valley says India can’t build deep tech AI. Too much brain drain. Too little capital. But these 8 startups are proving them wrong: 🇮🇳 Sarvam AI – Raised $41M to build India’s first homegrown LLMs i

🚀 Want to build a startup? Read this. Start small, but think big. AI isn’t a threat—it’s an opportunity. Use it. Share your journey. People support what they relate to. Social media isn’t for scrolling; it’s for scaling. Ideas are worthless wit

With just 15 global companies producing foundational models, it's clear how complex and capital-intensive this field is. The AI boom favors industry giants with resources and tech advantages, while startups refining these models to make money contend