LLM fine Tuning Dashboard is built using Next.Js, Tailwind CSS. It has just the front end components with hardcoded data and no backend integration yet.
Forezy.ai - The name Forezy on the graphical user interface represents the Forecast with Ease in combination with Artificial Intelligence. The framework has been created using open source packages and lays the foundation for getting started and building the model tuning functionality. As part of this dashboard design and build there are 6 driving screens. The details of the screens are added below:
Screen #1 : Dashboard -> Provides overall summary of all available metrics Screen #2 : Datasets -> Allows users to upload dataset Screen #3 : Models -> Inventory of models Screen #4 : Experiments -> Tuning and optimizing the model parameters Screen #5 : Chat -> A screen that allows the users to use LLM to understand Screen #6 : Help -> Help option to support with contact and framework related information
The purpose of this framework and wireframes is to provide guidance from industry usage perspective and create a starter design for easy industry inheritance without the need to start from scratch. With respect to the usage, the users of the framework and wireframe are encouraged to check the licensing aspect of the open source packages for any commercializing and enterpise deployment needs.
Install Node Js
Install NPM
To run the app: - npm i
npm start
npm run dev
