“Infosys Creates Small Language Model for Specific Industries”.
Infosys is developing its small language model (SLM) utilizing open-source components alongside proprietary data sets. The company’s strong emphasis on Generative AI (Gen AI) has led it to create this SLM, which is tailored for specific industry applications, as Chief Executive Officer Salil Parekh mentioned during the company’s Q2 earnings press conference.
Parekh noted that the SLM will be implemented across various sectors, focusing on narrow data sets to meet specific business requirements.
An SLM is an artificial intelligence model designed to process and generate text, characterized by its smaller size and focus on particular tasks or industries. It typically requires less data and computational power compared to larger models.
“We are enhancing our efforts in generative AI. We are deploying enterprise generative AI platforms, developing our own small language model, and creating multi-agent solutions for our clients,” Parekh stated.
Using #AI, #InfosysTopaz enabled a food procurement company to customize recipes to meet diverse dietary needs. From vegan to age-specific needs, our solution delivered creative and tailored culinary experiences:
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Infosys’ nearest rival and India’s largest software exporter, Tata Consultancy Services (TCS) recently said that it is currently managing over 600 AI and Gen AI projects, which are either in production or in the development phase.
TCS, Infosys, and other IT companies have not disclosed revenue generated from Gen AI deals for the quarter. In the previous quarter, TCS reported a pipeline valued at $1.5 billion for AI and Gen AI initiatives.
Earlier, Infosys revealed that it is currently engaged in 200 Gen AI projects, with six out of eight employees contributing to the creation of three million lines of code using large language models (LLMs) in fiscal 2023-24.
The company is designing its small language model (SLM) for scalability across industries, enabling clients to build business logic tailored to specific use cases. “We are exploring various industry applications for the small language model, which will significantly enhance clients’ capabilities by allowing them to develop business logic on top of it,” Parekh explained.
He also emphasized the rollout of multi-agent solutions, where agents autonomously manage specific business processes. “We’ve launched multi-agent solutions that extend beyond mere assistance. These agents can operate on specific business processes largely independently,” he added.
For instance, over 70,000 employees from an Infosys client in the telecommunications sector are leveraging the enterprise Gen AI platform to create customized use cases in areas such as customer service, knowledge management, and coding. “This platform has been rolled out, and employees are using it to develop their own use cases, delivering tangible benefits rather than just proofs-of-concept (PoCs), with real projects producing results,” Parekh stated.
When asked about recruiting talent with Gen AI skills, Parekh stated that Infosys is “continuing to recruit talent in these areas to enhance our capabilities.”
On October 17, the company reported its Q2FY25 earnings, revealing a net profit increase of 2.2 percent quarter-on-quarter, rising to Rs 6,506 crore from Rs 6,368 crore, which fell short of market expectations. For the July-September period, Infosys saw revenue growth of 4.2 percent quarter-on-quarter, reaching Rs 40,986 crore.
A Moneycontrol poll of 11 brokerages had projected Infosys’ fiscal second-quarter net profit to rise to Rs 6,769 crore, with revenue expected to reach Rs 40,857 crore. Growth was anticipated to be driven by the ramp-up of large deals, increasing traction in Generative AI projects, and cost optimization efforts.
