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What can India do to get ahead in the AI space? I think we lack in good indigenous AI systems. What steps can accelerate India's AI development?

The social comparison and influence paradigm of social networks needs to be rethought. India's ban on social media will create numerous opportunities for indigenous startups, as well as ensure that Indian data is stored on Indian servers and used in

Bengaluru-based GenAI startup Sarvam AI intends to submit a proposal to the Ministry of Electronics and IT (MeitY) to develop an indigenous AI foundational model as part of the IndiaAI Mission.

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?

Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

How is this early stage startups finding data to train their AI models?

Data Science Vs Software Development Vs Cyber Security Which holds the future?

Food for thought. Instead of building AI models/agents/RAGs, why not build for AI. There is a dearth of auxiliary products and services for AI development such as benchmarking, training environments, data cleaning, synthetic data generation etc. But

Reliance Industries, led by Mukesh Ambani, is making a massive push into AI infrastructure. The company is set to build the world's largest data centre in Jamnagar, Gujarat, with an unprecedented three-gigawatt capacity. Key Highlights - Partnered

Here are 10 recent AI news highlights from India: 1. India's DPDP Act Now Enforced India's Digital Personal Data Protection (DPDP) Act has officially come into effect, imposing stricter data governance requirements for AI startups, particularly