Fine-Tuning LLMs for Cybersecurity: Mistral, Llama, AutoTrain, and AutoGen

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• Explain the fundamental concepts and architectures of open-source large language models (LLMs) such as GPT and transformer models.
• Analyze the potential applications of LLMs in enhancing cybersecurity measures, including threat detection, penetration testing, and phishing defense.
• Develop practical skills in integrating LLM-powered systems into existing cybersecurity protocols and infrastructures.
• Construct and fine-tune LLMs tailored for specific cybersecurity applications, such as automated penetration testing or advanced phishing detection.
• Build LLM agent workflows for security tooling such as web vulnerability scanning and OSINT.
• Evaluate the effectiveness of AI-driven cybersecurity solutions and identify areas for optimization and improvement to adapt to evolving cyber threats.

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