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Open-source AI model Nandi routes Indian language complaints

Nandi, an open-source AI model, has been developed to categorize and route customer complaints in 13 Indian languages. The model, with 560 million parameters, can sort complaints into 53 categories based on regulatory lists from bodies like the RBI and IRDAI, and also provides an urgency level. While Nandi achieved a 92.9% accuracy on synthetic data, its performance on real-world posts dropped to 62.5% for the correct category and 81.3% for the top three categories, highlighting a gap between synthetic testing and practical application. AI

IMPACT This model could improve efficiency in handling customer complaints across various Indian regulatory bodies and services.

RANK_REASON Release of a specialized open-source AI model for a specific task (complaint routing in Indian languages). [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Open-source AI model Nandi routes Indian language complaints

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34 / 100
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Newsworthiness bucket
Tool
Release of a specialized open-source AI model for a specific task (complaint routing in Indian languages). [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Latent AI Labs ·

    Nandi Carries Every Complaint to the Right Desk: Open-Source AI for Indian Languages

    <p><em>A free model that sorts complaints in 13 Indian languages into 53 categories based on RBI, IRDAI and CPGRAMS lists. What a synthetic test hid, and what real posts showed.</em></p><p>By Arun Prabhakaran · <a href="https://www.youtube.com/@LatentAILabs">@LatentAILabs</a></p>…