PYMNTS.com April 23, 2024
Smaller artificial intelligence (AI) models, like Microsoft’s recently unveiled Phi-3-mini, are proving that bigger isn’t always better for business applications.
These lightweight, efficient models can tackle content creation and data analysis without the hefty computational requirements and costs associated with their larger counterparts, experts say, making AI more accessible and cost-effective for businesses.
“Small language models have a lower probability of hallucinations, require less data (and less preprocessing), and are easier to integrate into enterprise legacy workflows,” Narayana Pappu, CEO at Zendata, a provider of data security and privacy compliance solutions, told PYMNTS. “Most companies keep 90% of their data private and don’t have enough resources to train large language models.”
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