Creating a Structured AI Log Analysis System with Python & LLMs
🔍 Meet STRESSED - your AI-powered security log analyzer that's perpetually anxious about potential threats! In this video, we'll explore how to build a structured log analysis system using Python, LLMs, and the Outlines library.
⚡️ What you'll learn:
How to use the Qwen2.5-Coder-7B-Instruct model for log analysis
Implementing structured generation with Outlines
Processing and chunking large log files
Creating a fun personality layer for AI tools
🛠️ Technologies used:
Python
Outlines
PyTorch
Transformers
vLLM
🔗 Resources:
GitHub: https://github.com/dottxt-ai/demos/tr...
Documentation: https://dottxt-ai.github.io/outlines/...
⏱️ Timestamps:
00:00 - Introduction
00:45 - What logs look like
01:25 - What the AI makes for us
02:38 - What the code looks like
04:23 - What is a WebSecurityEvent?
07:23 - Conclusion
#AI #Python #Security #Programming #MachineLearning #LLM #CyberSecurity
Disclaimer: This tool is meant for educational purposes and should be used alongside proper security monitoring systems.
En esta página del sitio puede ver el video en línea Creating a Structured AI Log Analysis System with Python & LLMs de Duración hora minuto segunda en buena calidad , que subió el usuario dottxt 05 diciembre 2024, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 19,948 veces y le gustó 351 a los espectadores. Disfruta viendo!
