A leading IT services giant, is developing a Small Language Model (SLM) aimed at addressing specific industry needs. This initiative integrates open-source components with proprietary data sets, showcasing Infosys’ strong commitment to generative AI (Gen AI). The announcement was made by Salil Parekh, Chief Executive Officer of Infosys, during the company’s Q2 earnings press conference.
The SLM is being tailored to operate with focused data sets, ensuring it meets narrow, industry-specific business requirements efficiently. Unlike larger language models, SLMs are optimized for targeted tasks, requiring fewer computational resources and less data while maintaining high performance.
“We are deepening our work in generative AI. We are deploying enterprise generative AI platforms, building our own small language model, and developing multi-agent solutions for our clients,” said Parekh.
This strategic move comes as part of Infosys’ broader efforts to integrate generative AI capabilities across its operations and client services. The SLM will cater to multiple sectors, leveraging Infosys’ expertise in AI-driven enterprise solutions.
By developing an SLM, Infosys seeks to:
- Address niche industry challenges with AI-driven insights.
- Reduce dependency on large-scale models, promoting cost and resource efficiency.
- Enhance the scalability of AI solutions for enterprise clients.
Parekh emphasized that Infosys’ focus on generative AI aligns with its vision of delivering tailored, transformative solutions for specific business applications. This initiative positions Infosys as a key player in the evolving generative AI landscape.
