Download
PaLM-rlhf-pytorch is a PyTorch implementation of Pathways Language Model (PaLM) with Reinforcement Learning from Human Feedback (RLHF). It is designed for fine-tuning large-scale language models with human preference alignment, similar to OpenAI’s approach for training models like ChatGPT.
Features
- Implements RLHF for fine-tuning large-scale language models
- Uses PPO (Proximal Policy Optimization) for reinforcement learning stability
- Optimized for training on distributed hardware like GPUs and TPUs
- Supports both pretraining and reward model fine-tuning
- Built on PyTorch with modular and extensible components
- Designed for experimenting with human-aligned AI training
Project Samples
Categories
Reinforcement Learning FrameworksLicense
MIT LicenseFollow PaLM + RLHF - Pytorch
Other Useful Business Software
Run applications fast and securely in a fully managed environment
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of PaLM + RLHF - Pytorch!
