Large Language Models
Large language models offer remarkable flexibility, allowing for quick adjustments through prompt engineering without the need for extensive retraining. However, fine-tuning these models can lead to a loss in generalizability, making them less adaptable to various tasks. By leveraging their deep understanding of concepts, they can be effectively employed for classification tasks, such as identifying phishing attacks and understanding attacker objectives, ultimately reducing the human burden in these processes.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
717: Overcoming Adversaries with A.I. for Cybersecurity — with Dr. Dan Shiebler
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