#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
🚨 GitHub 监控消息提醒
🚨发现关键词：#EXP#Exploit
📦项目名称：ExploitMaze
👤项目作者：DUVALL707
🛠开发语言： HTML
⭐Star数量： 0 | 🍴Fork数量： 0
📅更新时间： 2026-04-10 22:00:16
📝项目描述：
🧩 Navigate and assess vulnerabilities in software systems with ExploitMaze to enhance security and improve defenses against potential threats.
🔗点击访问项目地址
Кто не пропатчил уязвимость CVE-2024-26229 у меня новость: эксплойт на C обновлен около 16 часов назад и в сигнатурах его еще нет 😫
https://www.virustotal.com/gui/file/38ec8c05f3ebd5c02d15430a7812baab1829e9696bc7278cb4a26f1f84ec933e/
Для тех, кто в танке: эксплойт запускается на машине и поднимает права УЗ до привилегий system
#malaware#exploit