Infosys Chairman Nandan Nilekani has called on Indian AI companies to focus on practical applications rather than competing in large language model (LLM) development. Speaking at Meta’s Build with AI summit, he emphasized the importance of building infrastructure for data collection and curation, aiming for India to become a global hub for AI use cases. Nilekani advocated for synthetic data generation and small language models tailored to real-world challenges, highlighting the need for accessible and impactful solutions over participating in an LLM arms race. He praised Meta's open-source Llama models as a significant advancement for India's AI landscape.
Infosys Chairman Nandan Nilekani has called on Indian AI companies to focus on practical applications rather than competing in large language model (LLM) development. Speaking at Meta’s Build with AI summit, he emphasized the importance of building infrastructure for data collection and curation, aiming for India to become a global hub for AI use cases. Nilekani advocated for synthetic data generation and small language models tailored to real-world challenges, highlighting the need for accessible and impactful solutions over participating in an LLM arms race. He praised Meta's open-source Llama models as a significant advancement for India's AI landscape.
•Emphasizes the need for data collection and curation infrastructure.
•Aims for India to become a global hub for AI use cases.
•Advocates for synthetic data generation and small language models.
•Praises Meta's opensource Llama models as a game changer for India.
•Highlights the importance of accessible and impactful AI solutions.