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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Robust recipes to align language models with human and AI preferences

OpenClaw-RL: Train any agent simply by talking

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Align Anything: Training All-modality Model with Feedback

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.

A full pipeline to finetune Vicuna LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Vicuna architecture. Basically ChatGPT but with Vicuna

A High-Efficiency System of Large Language Model Based Search Agents