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PaLM-rlhf-pytorch

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Python

Project Description

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

PaLM-rlhf-pytorch: Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture.

Project Title

PaLM-rlhf-pytorch — Implementing RLHF on PaLM for Advanced AI Chatbots

Overview

PaLM-rlhf-pytorch is an open-source Python project that implements Reinforcement Learning with Human Feedback (RLHF) on top of the PaLM architecture, aiming to replicate the capabilities of ChatGPT with PaLM. This project is a work-in-progress (WIP) and offers a framework for developers interested in creating advanced AI chatbots with human-like interactions.

Key Features

  • Implementation of RLHF on the PaLM architecture
  • Potential for integration with retrieval functionality
  • Open-source and community-driven development

Use Cases

  • Developers looking to create AI chatbots with human-like interactions
  • Researchers exploring advanced natural language processing and AI technologies
  • Enterprises needing customized chatbot solutions with high levels of user engagement

Advantages

  • Builds upon the powerful PaLM architecture for robust language understanding
  • Open-source nature allows for community contributions and rapid iteration
  • Potential to be extended with additional features like retrieval functionality

Limitations / Considerations

  • No trained model is included; significant compute resources and data are required for training
  • The project is a work-in-progress and may lack some features found in mature solutions
  • Requires professional expertise to guide the development and training process effectively

Similar / Related Projects

  • CarperAI/trlx: An RLHF framework for large language models, developed prior to ChatGPT's release.
  • LAION-AI/Open-Assistant: An open-sourced implementation of an AI assistant, similar in scope to PaLM-rlhf-pytorch.

Basic Information


📊 Project Information

🏷️ Project Topics

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🎥 Video Tutorials


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Project Information

Created on 12/9/2022
Updated on 11/14/2025