LLM stands for “large language model” in other words, it is a big neural machine. Saying they don’t use LLMs is like saying the ocean isn’t blue, it’s azure.
LLMs work by increasing scale, number of separate neural networks, to increase accuracy when improvement from training hits a wall. Which is very problematic because it means power consumption becomes exponential. I think most people won’t have a problem with neural networks, but certainly do have a problem with LLMs.
LLM stands for “large language model” in other words, it is a big neural machine. Saying they don’t use LLMs is like saying the ocean isn’t blue, it’s azure.
An LLM is a type of artificial neural network, but not every ANN is an LLM. So its a lot more like saying that not every red thing is a firetruck.
That is an extremely simple concept that even toddlers can understand.
LLMs work by increasing scale, number of separate neural networks, to increase accuracy when improvement from training hits a wall. Which is very problematic because it means power consumption becomes exponential. I think most people won’t have a problem with neural networks, but certainly do have a problem with LLMs.
Machine learning, neutral networks, AI, in general it’s very useful when trained at a specific task. LLMs are most certainly where things went wrong.