This visual is a bit misleading. LLMs are not a subset of genAI and they aren’t really comparable, because LLMs refer to a vague model type (usually transformers with hundreds of millions of parameters) and genAI is a buzzword for the task of language generation. LLMs can be fine tuned for a variety of other tasks, like sequence and token classification, and there are other model architectures that can do language generation.
Unrelated, but it’s disappointing how marketing and hype lead to so much confusion and information muddying. Even Wikipedia declaratively states that the most capable LLMs are generative, which academically is simply not the case.
This visual is a bit misleading. LLMs are not a subset of genAI and they aren’t really comparable, because LLMs refer to a vague model type (usually transformers with hundreds of millions of parameters) and genAI is a buzzword for the task of language generation. LLMs can be fine tuned for a variety of other tasks, like sequence and token classification, and there are other model architectures that can do language generation.
Unrelated, but it’s disappointing how marketing and hype lead to so much confusion and information muddying. Even Wikipedia declaratively states that the most capable LLMs are generative, which academically is simply not the case.
Source: computational linguist who works on LLMs