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(Netflix 2025) Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Train your AI self, amplify you, bridge the world
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Generate a timeline of your day, automatically
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Text-audio foundation model from Boson AI
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
chat log tool, easily use your own chat data. 聊天记录工具，轻松使用自己的聊天数据
Open-source framework for exporting your personal data.
🚀 One-stop solution for creating your digital avatar from chat history 💡 Fine-tune LLMs with your chat logs to capture your unique style, then bind to a chatbot to bring your digital self to life. …
The definitive Web UI for local AI, with powerful features and easy setup.
Awesome paper lists for "A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions""
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
MoBA: Mixture of Block Attention for Long-Context LLMs