Tbh in my experience LLM and other recently developed techniques such as stable diffusion are referred to as GenAI by most lay people. For both lay people and technical audience, i.e. people who work in machine learning, AI has a much broader significance.
The people I see using “gen AI” are people who are peripheral to the experts or enthusiasts (be it enthusiastically for or against).
They’re not the people making the LLMs, they’re the people integrating LLMs into their own products, or they’re part or sales or procurement for such products. Gen-ai is very much the b2b marketing speak for these technologies.
But I don’t see it used as often in the broader context of social media or mainstream media, outside of the niches that those experts and enthusiasts frequent.
Tbh in my experience LLM and other recently developed techniques such as stable diffusion are referred to as GenAI by most lay people. For both lay people and technical audience, i.e. people who work in machine learning, AI has a much broader significance.
The people I see using “gen AI” are people who are peripheral to the experts or enthusiasts (be it enthusiastically for or against).
They’re not the people making the LLMs, they’re the people integrating LLMs into their own products, or they’re part or sales or procurement for such products. Gen-ai is very much the b2b marketing speak for these technologies.
But I don’t see it used as often in the broader context of social media or mainstream media, outside of the niches that those experts and enthusiasts frequent.
Fair enough, that seems accurate!