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Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
每个人都能看懂的大模型知识分享,LLMs春/秋招大模型面试前必看,让你和面试官侃侃而谈
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化,也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, I…
Generative Agents: Interactive Simulacra of Human Behavior
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
[ICLR 2025] LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
WiNGPT是一个基于GPT的医疗垂直领域大模型,旨在将专业的医学知识、医疗信息、数据融会贯通,为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务,提高诊疗效率和医疗服务质量。
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
Daily updated LLM papers. 每日更新 LLM 相关的论文,欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
An interpretable large language model (LLM) for medical diagnosis.
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Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
a state-of-the-art-level open visual language model | 多模态预训练模型
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
Machine Learning Journal for Intermediate to Advanced Topics.
MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone
🧑🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.
中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial