Beyond bigger models: The shift towards specialised intelligence
By Anuj Gupta, Founder & CEO, KiteFishAI
For much of the generative AI era, progress has been closely associated with scale. Bigger models, more parameters, larger training datasets, and increasingly expensive compute became the dominant measures of technological advancement.
That approach has delivered remarkable results. General-purpose foundation models can write code, analyse documents, generate images, reason across complex questions, and perform tasks that would have seemed impossible only a few years ago.
But the next phase of AI may not be defined by making these models simply bigger.
It may be defined by making them more specialised.
The question enterprises are increasingly asking is no longer, ”How large is the model?” It is: How well does it understand my business?”
General intelligence has an enterprise limitation
A general purpose model is trained to perform across a very broad range of tasks. That breadth is its greatest strength, but also creates...
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