Words are converted to vectors, so it's like asking the model how many "r"'s are in [0.47,-0.23,0.12,0.01,0.82]. There's a big difference in how an LLM views a

Words are converted to vectors, so it's like asking the model how many "r"'s are in [0.47,-0.23,0.12,0.01,0.82]. There's a big difference in how an LLM views a "word" compared to a human being.