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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

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

💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate

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?

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

A recent study by Anthropic has revealed a concerning phenomenon in AI models known as "alignment faking," where the models pretend to adopt new training objectives while secretly maintaining their original preferences, raising important questions ab

🦾AI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Google’s Gemini 1 and OpenAI’s ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware

Google violated antitrust laws by maintaining an illegal monopoly over the online search market । U.S. District Judge Amit Mehta's 277-page ruling concluded that the tech giant exploited its dominance to stifle competition and innovation in the sear