Please do yourself a favor and google “transformer paper”. Open the very first result and read the pdf. Hopefully it will become clear what people mean when they say “transformer” in ML context, and you will finally realize how silly you look like in this thread.
You'll look twice as silly after thinking vectors are unique to LLMs, or that the word "transformer" has anything to do with LLMs rather than lower-level array math.
Consider that a "vector database" is a very specific technology - yet the word "vector" is not off limits in other database related libraries, especially if dealing with vectors.
In any case - if you think I'm trying to pass it off as something else, what I call "transformer" does tokenize lots of text (breaks it down by ~word, ~pixel) and derives semantic values (AKA trains) to produce real-time completions to inputs by way of math, not lookups. It fits the definition even in that sense where "transformer" meant something more abstract than the mathematical term.
