#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
🚨 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