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The age of one-size-fits-allAIappears to be crumbling.
This specialization is precisely why vendor lock-in has become the tech industry’s oldest trap.
The compliance angle makes this freedom even more crucial.
Open source has been critical on both the foundation model level and the making available the tooling for finetuning.
Fine-tuning existing models is cheaper but still demands significant investment.
Model efficiency isn’t optional - in real-timeapplications, every millisecond of latency kills user experience.
Cascaded systems can tackle this by processing speech in stages, but optimization remains a constant challenge.
Add security requirements and on-premises deployment to the mix, and your infrastructure needs multiply.
The key is knowing when to build and when to borrow.
The future of AI isn’t about having the biggest model - it’s about having the right one.
Generic AI is dead.
Long live the custom revolution!
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
