README.md

Welcome to your organization's demo respository

This code repository (or "repo") is designed to demonstrate the best GitHub has to offer with the least amount of noise.

The repo includes an index.html file (so it can render a web page), two GitHub Actions workflows, and a CSS stylesheet dependency.

Model-Improvement-Platform-With-RLHF

Platform being developed at MIT in collaboration with HuggingFace. Aimed at improving performance of existing Large Language Models through real time human feedback loop.

HF-RLHF-Platform

Platform being developed at MIT in collaboration with HuggingFace. Aimed at improving performance of existing Large Language Models through real-time human feedback loop. This repository hosts the development of an automated RLHF platform for Hugging Face, where the community can provide real-time feedback on language models. The feedback is automatically integrated into an RLHF pipeline to continuously fine-tune and improve the models.

The Feedback Collective

Open RLHF on VLMs for Students

A community-driven project to enhance Vision-Language Models (VLMs) for student-focused tasks. Leverages feedback from users and automated RLHF pipelines to continuously improve model performance and usability.

Dataset Schema for Project

KTO Dataset Structure

The dataset should be organized into two splits: train and test.

Each split contains the following features:

Feature	Type	Description
prompt	string	The input text for the model. This should be a natural language query or input.
completion	string	The output text generated by the model in response to the prompt.
label	bool	A binary value (True or False) indicating whether the completion is desirable.