Why India’s AI strategy is betting on smaller models
By Ankur Edkie, co-founder and CEO, Murf AI
A voice agent can understand a customer perfectly and still deliver a poor experience. If it takes too long to respond, struggles with an interruption or mispronounces a name, the interaction breaks down. In a real-time conversation, intelligence is only useful if it arrives at the right moment.
This is one of the problems that makes building AI systems fundamentally different from simply building larger models. For businesses deploying AI, the relevant question now is how much useful performance it can deliver within the available compute, time and cost constraints.
This is also why smaller, specialised models are becoming an important part of India’s AI strategy.
The shift does not suggest that large foundation models have outlived their usefulness. They remain important for complex reasoning, broad knowledge and tasks that require general-purpose intelligence. But not every application needs that level of capability....
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