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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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@GithubRedTeam · Post #78423 · 04/02/2026, 10:02 AM

🚨 GitHub 监控消息提醒 🚨发现关键词:#反序列化#Java#PHP#Python#Fastjson#Jackson#Shiro 📦项目名称:fanxulieh-bachang 👤项目作者:hujiaozhuzhu 🛠开发语言: HTML ⭐Star数量: 1 | 🍴Fork数量: 0 📅更新时间: 2026-04-02 09:41:23 📝项目描述: 反序列化漏洞靶场 🔗点击访问项目地址

GitHub 红队武器库🚨

@GithubRedTeam · Post #78331 · 04/01/2026, 06:02 PM

🚨 GitHub 监控消息提醒 🚨发现关键词:#反序列化#Java#PHP#Python#Fastjson#Jackson#Shiro 📦项目名称:test 👤项目作者:hujiaozhuzhu 🛠开发语言: HTML ⭐Star数量: 0 | 🍴Fork数量: 0 📅更新时间: 2026-04-01 17:07:43 📝项目描述: 反序列化漏洞靶场 🔗点击访问项目地址