The way I have been dealing with this is brushing up on my calculus, and probability theory, as well as matrix math, and filling in any holes in linear algebra

The way I have been dealing with this is brushing up on my calculus, and probability theory, as well as matrix math, and filling in any holes in linear algebra I have, and then learning more about neural networks. LLMs burst into more people's consciousness last year, but so did Stable Diffusion, so I have been finding neural networks in general more interesting. Once I get a better grasp of backpropagation etc. I'll see if I want to move on to learning about transformers and LLMs, or latent diffusion models, or both, or maybe some other type of neural network.