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Agencies and brands, driven by strategic business decisions to adopt generative artificial intelligence, are increasingly using small-language models for more task-driven solutions.
“As we work with clients, we plan to use [SLMs] because the data set [to train] is smaller, and its tasks are defined to a particular brand’s needs,” said Michael Olaye, senior vice president and managing director of strategy and innovation at R/GA, which began testing SLMs in early January.
Interest in SLMs bubbled up last November when Microsoft announced the launch of its own SLM, Phi-2.
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