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AI Logging for Interpretability and Explainability🔬
Extend OpenRLHF to support LMM RL training for reproduction of DeepSeek-R1 on multimodal tasks.
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Official implementation of ACL 2025 Findings paper "Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts" (As Huggingface Daily Papers: https://huggingface.co/pape…
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）
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
ReLE中文大模型能力评测（持续更新）：目前已囊括257个大模型，覆盖chatgpt、gpt-4.1、o4-mini、谷歌gemini-2.5、Claude、智谱GLM-Z1、文心一言、qwen-max、百川、讯飞星火、商汤senseChat、minimax等商用模型， 以及DeepSeek-R1-0528、qwq-32b、deepseek-v3、qwen3、llama4、phi-4、glm…
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Retrieval and Retrieval-augmented LLMs
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
High accuracy RAG for answering questions from scientific documents with citations
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
😎 Awesome list of tools and projects with the awesome LangChain framework
一个使用python 实现Claude2 创建会话、聊天、发送附件、获取历史会话，清理历史记录等功能的api接口，可以对接第三方系统作为二次开发使用。
Question and Answer based on Anything.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
Implementation of paper Data Engineering for Scaling Language Models to 128K Context
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Doing simple retrieval from LLM models at various context lengths to measure accuracy