OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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Updated
Aug 17, 2024 - Python
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
The official GitHub page for the survey paper "A Survey of Large Language Models".
Official release of InternLM2.5 base and chat models. 1M context support
Robust recipes to align language models with human and AI preferences
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
A curated list of reinforcement learning with human feedback resources (continually updated)
A Doctor for your data
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
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
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Aligning Large Language Models with Human: A Survey
SimPO: Simple Preference Optimization with a Reference-Free Reward
聚宝盆(Cornucopia): 中文金融系列开源可商用大模型,并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)
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