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GanjinZero avatar

GanjinZero/RRHF

0
View on GitHub↗
806 stars·45 forks·Python·5 views

RRHF

Arxiv

Features

  • Fine Tuning Methods - Paradigm for aligning language models using ranked response feedback.
  • Reinforcement Learning - Ranking responses to align models without complex feedback loops.
  • RLHF Frameworks - Framework for ranking responses to align models.

Star history

Star history chart for ganjinzero/rrhfStar history chart for ganjinzero/rrhf

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with RRHF

These projects share indexed features with RRHF. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • anthropics/constitutionalharmlessnesspaperanthropics avatar

    anthropics/ConstitutionalHarmlessnessPaper

    263View on GitHub↗

    This repository provides supplementary material for our paper Constitutional AI: Harmlessness from AI Feedback.

    View on GitHub↗263
  • openai/following-instructions-human-feedbackopenai avatar

    openai/following-instructions-human-feedback

    1,258View on GitHub↗

    Paper linkLINKTOPAPER

    View on GitHub↗1,258
  • alibabaresearch/damo-convaiAlibabaResearch avatar

    AlibabaResearch/DAMO-ConvAI

    1,561View on GitHub↗

    DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

    Pythonconversational-aideep-learningdialog
    View on GitHub↗1,561
  • openrlhf/openrlhfOpenRLHF avatar

    OpenRLHF/OpenRLHF

    9,675View on GitHub↗

    OpenRLHF is a training framework and alignment library designed for reinforcement learning from human feedback across distributed GPU clusters. It provides tools for aligning large language models and multimodal vision-language models using algorithms such as PPO, GRPO, and DPO. The framework distinguishes itself through a distributed inference engine that overlaps sample rollout with training to increase throughput. It supports scaling to models exceeding 70 billion parameters via parameter sharding and handles long-context sequences through ring-attention sequence parallelism. The project

    Pythonlarge-language-modelsopenai-o1proximal-policy-optimization
    View on GitHub↗9,675
Compare all 30 related projects→

Frequently asked questions

What does ganjinzero/rrhf do?

Arxiv

What are the main features of ganjinzero/rrhf?

The main features of ganjinzero/rrhf are: Fine Tuning Methods, Reinforcement Learning, RLHF Frameworks.

Which projects share features with ganjinzero/rrhf?

Projects with overlapping indexed features include: openai/following-instructions-human-feedback — [Paper link][LINKTOPAPER]. rucaibox/rlmec — This repo provides the source code & data of our paper: Improving Large Language Models via Fine-grained Reinforcement… alibabaresearch/damo-convai — DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI. anthropics/constitutionalharmlessnesspaper — This repository provides supplementary material for our paper Constitutional AI: Harmlessness from AI Feedback. openrlhf/openrlhf — OpenRLHF is a training framework and alignment library designed for reinforcement learning from human feedback across… uclaml/spin — The official implementation of Self-Play Fine-Tuning (SPIN).