Infosys said it is leaning into small language models as it aims to leverage its industry data sets to target use cases.
Speaking on Infosys' second quarter earnings conference call, CEO Salil Parekh outlined the strategy:
"We are working with clients to deploy enterprise generative AI platforms, which become the launch pad for clients’ usage of different use cases in generative AI. We are building a small language model leveraging industry and Infosys’ data sets. This will be used to build generative AI applications across different industries. We have launched multi-agent capabilities to support clients in deploying agent solutions using generative AI."
Parekh said Infosys has "some very good data sets" that can be used to train small language models. These models will be built for clients by industry and added to business applications and combined with Infosys' Topaz cloud platform.
To that end, Infosys launched Infosys Topaz BankingSLM and Infosys Topaz ITOpsSLM to spearhead a rollout of small language models. The banking focused genAI effort was developed using Nvidia AI enterprise and AI Foundry with Sarvam AI and will be integrated into Infosys offerings.
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Infosys added that it is working on Nvidia to develop NIM Agent Blueprints.
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