Technology leaders driving digital transformation and building AI-first solutions.
Given the network and access to resources that the Indian AI companies have right now, the next best move would be to build a GPT-2 level model instead of competing with the West.
Nobody is ready to invest in research and development startups, even if that would just cost around $10 million to get started.
“Indian IT services companies are not product companies,” said Mohandas Pai.
Ahead of DevDay 2024, OpenAI gave Vahan.ai early access to Realtime API to enable developers to build fast, speech-to-speech applications with low latency, enhance the customer support experience and help train workers.
“I think we were too early…things didn’t work out as we were hoping.”
At Cypher, G42 unveiled its plans to build the largest data centre in India, besides launching a local ‘Hinglish’ LLM, called NANDA (named after the second-highest peak in India).
The idea is to help the lawyers at each step, from onboarding a new case and reviewing prior legal history, to preparing petitions and arguments for the court, and more.
The company recently launched a range of products, including voice-based agents that are accessible via telephone and WhatsApp. The voice-based agents can also be integrated into an app, allowing users to communicate verbally whenever they choose.
“Project Indus was built for $400,000 in response to OpenAI’s chief, Sam Altman, who claimed that India couldn’t build a model for under $10 million.”
“The Government of India should invest INR 50,000 crores in AI. They need to support AI startups by providing grants and enabling them to invest in and develop solutions like ChatGPT.”
R&D requires time, the results are uncertain, and it needs good investment.
But “upskill to what?” is what people ask.
Indian startups need support in terms of computing resources more than in financing.
“What’s the point of paying the teachers then?” ask engineers.
With a commitment to excellence, IIT Madras, a hot spot for tech startups, now wants to focus on AI.
The saddest part about this is that it’s the same package that was offered in 2002.
When it comes to manufacturing chips outside India, trust is foundational. But it is also the first point of vulnerability in the supply chain.
The mismatch between new-age degrees and existing eligibility criteria isn’t just an isolated issue; it’s a systemic one.
Burning the midnight oil, fixing bugs, and driving autos to combat loneliness.
“I have never believed that funding is the reason why you or I succeed.”
Establishing a university in India has only become more compelling with time, making the outcome even more disappointing.
“We should have a product like Bhashini in France,” said Hélène Quintin, the CEO of KERU Project.
The number of STEM graduates from India are almost enough to fill the seats of top jobs in the US and Europe.
MachineHack emerges as the go-to platform for AI/ML professionals, offering hackathons, and assessments to bridge the gap LeetCode can’t fill.
Depending on the country, data crowdsourcing platforms can pay remote workers as little as $1.2/hour for a project.
With the Union Budget around the corner, it would be interesting to see the government allocate funds for such initiatives.
Maharashtra, which hosts over 40% of India’s data centres, gets 78% of its electricity from fossil fuels. While Delhi NCR’s 85-90% of electricity comes from fossil fuels.
Former chief architect of Aadhaar Pramod Varma believes that India’s future is voice-based AI.
Launched in 2005, Google Maps handles over 50 million searches daily in India and provides directions for more than 2.5 billion kilometers every day.
IIT Gandhinagar develops Hindi LLM ‘Ganga’ from scratch for just INR 10 lakh
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