Artificial intelligence operates by leveraging complex algorithms and large datasets to enable machines to perform tasks that typically require human intelligence. The development of large language models, such as those utilized by ChatGPT, has significantly advanced the field, allowing for more sophisticated natural language processing capabilities. These models are trained on vast amounts of data, which enables them to generate human-like text and respond to a wide range of questions and prompts. Recent advancements in large language models, including those driven by Intel, have expanded the capabilities of AI systems, but also introduce new security risks that must be carefully considered1. As AI technologies continue to evolve, it is essential for practitioners to understand the fundamental principles underlying these systems in order to effectively mitigate potential security threats. The security implications of large language models are a critical concern, as they can be used to generate sophisticated phishing attacks or spread disinformation, so understanding AI fundamentals is crucial for developing effective countermeasures.