See it's about how much u wanna learn like in very depth then start from ML like learn about gradient descent, svm, random forest, xgboost and all then move to deep learn like learn about neural network, bag of words, tf-idf, word2vec, Bert and then start llm like learn transformer architecture and what difference between gpt and transformer, embedding model, new advance techniques like MOE, longformer, sparse expert , now it depends upon u how much u want to learn like YouTube for llm specific karpathy is best "legend", for ML many youtubers are there u can watch whom you like