The entire library is not just a data structure, it just uses it to model language. You still haven't npm installed have you? If you spent 5 minutes with it, it

The entire library is not just a data structure, it just uses it to model language. You still haven't npm installed have you? If you spent 5 minutes with it, it would answer your questions. You use it like this: `agent.getTokenPrediction('when')` It's not "bro it's just a trie" like you keep saying no matter what I tell you or try to show you. "A trie" is not a JavaScript library you can install with methods like "getTokenPrediction" or "complete" that help you auto-complete sequences. And since you love the neuron model so much, know that you can train on data that begets the same node/weight based "learning" that an ANN does, I just haven't gone all-in on the "neuron" analogy. You know - other people here want me to call it a Markov chain, not a trie at all, and don't want me to call the semantic score "embeddings" because they aren't stored as numbers, so one thing I've learned is this phrasing ("branding") matters more than functionality. Your last paragraph - yeah we agree, and I've been trying to tell a lot of other people that "LLM !== chat bot". Providing a `chat` method doesn't make it equivalent to an LLM so I didn't provide anything related to chat. I have no idea what kind of AI model you might build - could be next-pixel prediction and you get into Stable Diffusion-like functionality, not chat at all. "What you've written is a trie" I didn't write a trie, they're automatically generated during training. The library has nothing to do with that, but you keep saying it does. What I did write is a next-token prediction library for giving you the next likeliest letter, word, pixel, etc. Hope this makes sense!