In the realm of artificial intelligence, Large Language Models (LLMs) are often compared to other forms of generative AI. LLMs represent a specific type of generative AI that focuses on generating language-based outputs. While LLMs are a subset of generative AI, there are various other approaches, such as diffusion models like stable diffusion, that are utilized for generating images. This article delves into the distinctions between LLMs and generative AI, shedding light on their respective roles and applications within the field of artificial intelligence.
What is the difference between LLMs and generative AI?
How do LLMs fit within the hierarchy of artificial intelligence?
Are there alternative approaches to generating images besides LLMs?
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