- Published on December 26, 2024
- In IT Services
This Indian Startup is Making ‘Black-Box’ AI Models Spill the Beans
This effort aligns with emerging regulations like the EU’s AI Act, which mandates explainability for high-risk AI applications.
- By Sagar Sharma
As models grow in size, one crucial element remains elusive—explainable AI. The larger they grow, the harder it becomes to understand their inner workings. And when we consider models 405b and beyond, it becomes extremely difficult to understand how they arrive at specific outcomes.
Vinay Kumar Sankarapu, CEO of Arya.AI, perfectly encapsulates the challenge: "Capabilities are fine—you can say your model is 99.99% accurate, but I want to know why it is 0.01% inaccurate. Without transparency, it becomes a black box, and no one will trust it enough to put billions of dollars into it."
His statement cuts to the core of the black box dilemma: trust demands understanding.
The Problem is Beyond Hallucinations
A recent study by the University of Washington revealed sign
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Sagar Sharma
A software engineer who loves to experiment with new-gen AI. He also happens to love testing hardware and sometimes they crash. While reviving his crashed system, you can find him reading literature, manga, or watering plants.
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