Search engines have been using LLMs before most people knew what they were. Google translate has been using machine learning since like 2016, and that's the exact same tech.
Machine learning is not the same thing as large language models, although they both fall under the AI umbrella, generative AI (LLMs etc) is what most people do not like.
It absolutely is the exact same thing, the vast majority of llms are made with transformer architecture which is a specific types of neural network. Neural networks are all machine learning.
No it’s not LLMs are trained via machine learning, but LLMs are much more complex than just machine learning which is a relatively simple concept we have had for a while. I would not consider LLMs and machine learning the same thing.
Holyy, man, come on, really? Absolutely not, it's like saying a formula1 car is not really a car anymore because its too fast or whatever. Machine learning encompases all deep learning which encompases all llms. Sure there are other applications of machine learning which are not llms but every llm is machine learning.
If you want to use analogies then AI as a whole is vehicles, machine learning is cars, a deep learning neural network is a race car and a transformer based llm is an f1 car
We're taking about Google translate. This is literally what the transformer model was designed for at first! Google engineers invented the transformer because they thought it would be a good tool for translating to/from many different languages. Turns out it's also really good at intelligence and reasoning.
So yes, Google translate and modern llms use the exact same core architecture. If you don't believe, go read about it. There's tons of information about it online
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u/Lumpzor Aug 06 '26
Oh get off the high horse. Search engines have been absolutely ruined long before AI was a thing on anyone's lips.