AI, LLM, ML & Related Areas In India: News, Updates & Discussions

[Azaad]

Google Research India head disagrees with Nandan Nilekani, says India must build LLMs

Nilekani said at Metas Build with AI summit in Bengaluru in October that India's goal should not be to build more LLMs. He said the big boys in the (Silicon) Valley can do it while India will create synthetic data, build small language models quickly, and train them using appropriate data.

m.economictimes.com

Cybercoolie see Cybercoolie do !

For all his accomplishments , Nilekani is no risk taker nor are his colleagues. He prefers earnings thru arbitrage ONLY. No wonder Infosys is the way it is & InfoMurthy goes on his senile rants at the frequency of once every month / alternate month.

 

[sameer]

Meet the Indian AI Startup Quietly Taking Over the Enterprise World

Indian AI startup TWO is quietly marking a mark in the fast-emerging artificial intelligence market. In an interview with AIM, founder Pranav Mistry revealed that the company generated $4 million in revenue this quarter and expected $20 million for next year.

analyticsindiamag.com

Summary:

In an interview with AIM, founder Pranav Mistry revealed that the company generated $4 million in revenue this quarter and expects $20 million for next year.

TWO AI’s SUTRA, a series of multilingual online GenAI models, added a new feather in its cap. The company claims it outperformed GPT-4o, Llama 3.1, and Indic LLMs, including G42’s Nanda, Sarvam’s OpenHathi and AI4Bharat’s Airavata, and leading in over 14 Indian languages.

Unlike other startups, TWO AI targets only big enterprise customers instead of pursuing the consumer market. “Jio is one of our major enterprise customers, and we also work with clients like Shinhan Bank and Samsung SDS in Korea,” Mistry said. He further revealed that the company has started partnering with companies like NVIDIA and Microsoft from a technology perspective, and is working with them as well.

“We are targeting India, Korea, Japan, and some parts of Southeast Asia, like Vietnam, specifically the central region. APAC (Asia-Pacific) is one of the key markets that we are always going to focus on,” Mistry added.

Earlier this year, the company launched ChatSUTRA, a ChatGPT-like chatbot. Mistry shared that the platform currently has over 600,000 unique users.

 

[Azaad]

View: https://twitter.com/Gautam_A_k/status/1882238816813031455?s=19


View: https://twitter.com/vaibhavbetter/status/1882245545504498060?s=19


View: https://twitter.com/PrasadSatya10/status/1882419088368279820?s=19


View: https://twitter.com/m_saharia/status/1882426139815432416?s=19

Let me give a ground view from where academia meets industry in a specialized domain. I had a great meeting with an NVIDIA team today, who wants to partner to scale up our Deep Learning models for SAR and Optical satellite applications. As well as some LLM-specific work in climate domain. We are developing a small foundation model for geospatial applications, which piqued their interest. They came to our campus, and we had very detailed technical discussions, which we enjoyed. For the past 1.5 years, we have also been working on a project funded by SONY on LiDAR and Deep learning applications. We meet every month, assess technical progress rigorously, and its a great avenue for mutual learning.

No established Indian company has ever approached us till today (TCS, Reliance - all have presence in geospatial domain). All I see is domestic industry leaders and VCs pontificating on Twitter and fests, and looking for handouts from the government in R&D spending. For all its limitations, government ministries and agencies actually have tremendous appetite for risk.

Lots of vendors want to partner with IITs for working on regular projects, but domestic appetite for cutting edge R&D is minimal. Indian VCs and companies need to have a more realistic understanding of where they stand vis-a-vis Silicon Valley. We need to ask ourselves if we really need another food delivery or makhna packaging company.