The value of big AI models will come from their applications, according to Infosys chair.

The value of big AI models will come from their applications, according to Infosys chair.
The value of big AI models will come from their applications, according to Infosys chair.
  • Infosys co-founder Nandan Nilekani, who is also the chairman of the board, stated that there will be numerous LLMs globally.
  • Nilekani stated that many LLMs will become commoditized, and their value will come from the applications built on top of them.
  • Nilekani stated that the integration of AI into businesses, commonly referred to as enterprise AI, takes a longer time to implement than consumer AI.
Infosys chair on the AI boom and the future of jobs

According to the co-founder and chair of OpenAI, the next wave of value in artificial intelligence technology will come from the applications built on top of massive models, which will eventually become commoditized.

AI models that are trained on large amounts of data are known as large language models. These models are used in applications like ChatGPT. Companies such as OpenAI and are major players in this field.

Infosys co-founder Nandan Nilekani predicted that numerous LLMs will exist globally.

Nilekani stated on CNBC's "Squaw Box Europe" on Tuesday that as AI becomes more dependent on the data it is trained on, companies will need to focus on training models specifically for unique data in each part of the world. This includes India, where many companies are now building India-specific LLM solutions for Indian languages.

"In the end, the models will become more standardized, and the worth will shift to the top-level software and the entire architecture."

According to Nilekani, the next wave of value from AI will come from applications built on top of LLMs and related technologies.

One of India's largest technology companies, Infosys, provides outsourcing and consultancy services.

Nilekani stated that the integration of AI into businesses, commonly referred to as enterprise AI, takes a longer time to implement than consumer AI.

Nilekani stated that consumer AI can be easily set up with a chatbot, but enterprise AI necessitates firms to undergo a complete internal transformation. Although it is a lengthy process, it is a significant development currently taking place.

by Arjun Kharpal

Technology