C3PO

User Feedback-Based LLM Model Alignment Technique

CommonProductProductivityLLM ModelUser Feedback

Visit

C3PO is a user feedback-based LLM model alignment technique that allows for fine-tuning of LLMs based on single feedback sentences, mitigating over-generalization. This technique provides reference implementations, benchmark data, and necessary components to facilitate research on the proposed technique.

Product Finder

Product Submit

AI Models Finder

MCP Servers

MCP Client

MCP Inspector

Case Tutorials

Latest AI News

AI Daily Brief

C3PO

C3PO Visit Over Time

C3PO Visit Trend

C3PO Visit Geography

C3PO Traffic Sources

C3PO Alternatives

C3PO — User Feedback-Based LLM Model Alignment Technique

Expert Specialized Fine-Tuning — A professional fine-tuning tool for customizing large language models.

In-Context LoRA for Diffusion Transformers — A context-based LoRA fine-tuning technique for diffusion transformers

Fine Tuner AI — No-code Fine-Tuning for Optimizing AI Performance

llm-datasets — High-quality datasets, tools, and concepts for fine-tuning large language models.

mistral-finetune — Lightweight codebase for efficient fine-tuning of the Mistral model.

mwp_ReFT — A deep reinforcement learning-based model fine-tuning framework

diffusion-e2e-ft — Fine-tuning tool for image-conditioned diffusion models

prompteasy.ai — AI model fine-tuning, personalized customization.

Finetune — A platform for fine-tuning AI intelligent agents.

SFR-Judge — An intelligent evaluation tool that accelerates model assessment and fine-tuning.

Astraios — Parameter-efficient Fine-tuning for Large Language Models

Bakery — An open-source platform for AI model fine-tuning and monetization, empowering AI startups, machine learning engineers, and researchers.

Tülu 3 — Open-source advanced language model fine-tuning framework

Orthogonal Finetuning (OFT) — OFT effectively stabilizes text-to-image diffusion models during fine-tuning

Trudo AI — A no-code platform for fine-tuning OpenAI GPT3 models.

XTuner — A high-efficiency and flexible toolkit for large-scale model fine-tuning.

lmms-finetune — A unified codebase for fine-tuning large multimodal models.

XiangJi Translate — AI Short Video Translation Launch, Multi-language Fine-tuning Tool

Llama-3[8B] Meditron V1.0 — An 8 billion parameter large language model (LLM) based on biomedical data

AIKit — A one-stop solution for hosting, deploying, building, and fine-tuning open-source large language models.

User Vista — User Vista empowers product teams with a comprehensive understanding of customers by blending analytics, qualitative feedback, and AI.

RAG-FiT — RAG-FiT is a library designed to enhance LLMs' capability to utilize external information by fine-tuning models with specifically created RAG-enhanced datasets.

Feedback Widget by Olvy — Olvy | All-in-one user research and feedback tool

Bespoke Labs — Customized data services to facilitate precise model tuning.

Automorphic — A safe and self-improving LLM

llama-recipes — A collection of libraries and example scripts for fine-tuning the Meta Llama model.

bilibot — A local chatbot trained by fine-tuning Bilibili user comments

ALMA-13B-R — Advanced Machine Translation Model

ReFT — ReFT enhances the reasoning ability of LLM