Published by https://www.techtarget.com/ on December 18, 2023
Next year, enterprises will likely be inundated with more capabilities and applications for GenAI. The year will lead to smaller models and regulation in more countries.
By Esther Ajao, News Writer
With 2023 being the year for generative AI, 2024 will be the year the technology grows and develops. Many industry experts think that instead of the hype slowing, GenAI will mature.
“In 2024, there will not be a trough of disillusionment with this tech, ever,” said Mike Leone, an analyst at TechTarget’s Enterprise Strategy Group, on the Targeting AI podcast from TechTarget Editorial. “We’re jumping from hype to seeing productivity enhancements and improvements.”
However, the year will likely bring about many more AI models with both mature and immature enterprise capabilities. Enterprises might also see cost and regulation policies that could affect enterprise adoption of generative AI, Leone added.
One development in the new year is a move away from large language models toward smaller models, said Usama Fayyad, executive director of The Institute for Experiential AI at Northeastern University.
“[There will be] a realization that bigger is not necessarily better all the time,” Fayyad said. “Having more parameters makes a model less portable, less maintainable, often unstable [and] requires a lot more data and a lot more guidance.”
Alternatively, smaller models are cheaper to train, maintain and revise, Fayyad added.
Regulation will also continue to develop in 2024, said Ricardo Baeza-Yates, director of research at The Institute for Experiential AI.
While the EU is already introducing AI policies, countries like China are expected to join in next year, Baeza-Yates said.
There will also be a push toward “grey models” instead of black box models, he added. Black box models are models that are unexplainable. With grey models, there’s a level of understanding of how the models work.
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