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In this talk, I will provide a high-level overview of the fundamentals of large language models, with a focus on GPT models. My goal is to share insights from a security research perspective and inspire researchers to explore the potential of GPT models in their own labs. Specifically, I will cover topics such as semantic searching, few-shot learning, and code generation and provide basic examples and experiments to illustrate these concepts. Whether you're new to GPT models or have experience working with them, this talk aims to provide a fresh perspective on how they can be leveraged to empower security teams and spark new ideas for research.