GNANI.AI Unveils India&#8217;s First Voice-First SLM for Vernacular Languages
GNANI.AI has announced a series of voice-first SLM (Small Language Models), which are meticulously trained on millions of audio hours of proprietary audio datasets and billions of Indic language conversations, capturing the rich diversity of dialects, accents, and linguistic nuances prevalent across the country. With a sharp focus on key industry verticals, GNANI.AI aims to usher in the era of GEN AI, empowering businesses with sophisticated language understanding capabilities. The initial rollout of GNANI.AI‘s SLM targets pivotal domains such as banking, insurance, automotive, and retail. Leveraging their unparalleled expertise and industry knowledge from serving over 200 customers, GNANI.AI’s generative AI platform already enjoys widespread adoption within India’s BFSI (Banking, Financial Services, and Insurance) sector. Ganesh Gopalan, CEO, and co-founder of GNANI.AI, emphasised the company’s strategic advantage, stating, “Gnani.ai ‘s  200+ top-tier customers in India, including major banks, insurance firms, BNPL (Buy Now Pay Later) providers, MFIs (Microfinance Institutions), and automotive giants will start leveraging highly accurate, low latency, efficient SLM deployments for impactful use cases.” “While several companies have recently announced fine-tuned versions of open sourced LLM models for Indian languages, they often grapple with effectiveness, lack of multimodal capabilities, high inferencing costs, and privacy concerns. GNANI.AI‘s SLM models address these challenges head-on, prioritising performance, security, privacy, and deployability on edge computing environments and private infrastructure,” Ananth Nagaraj, CTO, and co-founder of GNANI.AI said.
The initial rollout of GNANI.AI’s SLM targets pivotal domains such as banking, insurance, automotive, and retail.
GNANI.AI has announced a series of voice-first SLM (Small Language Models) which are meticulously trained on millions of audio hours of proprietary audio datasets, billions of Indic language conversations,
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["AI", "generative AI", "Aim", "small language models", "SLM", "RAG", "edge computing", "R", "Go", "GAN"]
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