🚧 This project is a work in progress. For a more complete solution, please use next-token-prediction.

Large language and image models in pure JavaScript.

npm i llimo

Put this /training/ directory in the root of your project.

Now you just need to create your app's index.js file and run it. Your model will start training on the .txt files located in /training/documents/. After training is complete it will run these 3 queries:

const { Conversation: ChatModel } = require('llimo');

const MyChatBot = async () => {
  const agent = await ChatModel({
    bootstrap: true
  });

  // Chat with LLM

  agent.ask('what is Thai food?');
};

MyChatBot();

LM Chat (Paris dataset):

A work in progress. Things needed:

1. A lot more training data - this directly translates to what it accurately "knows"

2. Better parts-of-speech parsing - to allow for more flexible, even misspelled inputs