AI can write code, analyze threats, and even act like a security analyst—but what actually happens inside an LLM?

Welcome to Video 8 and the start of Phase 2: AI & LLM Fundamentals for Security Engineers in AI-Driven Cyber Security: Zero to Job-Ready by The Techzeen.

In this video, we break down how Large Language Models (LLMs) process and generate text—and why understanding these fundamentals matters for cybersecurity professionals.

What You'll Learn:
What is an LLM and how it predicts the next token
Tokens and why they affect context limits and API usage
Context Windows and the model's working memory
Transformers and the role of Attention
How Attention connects relevant information
Why LLMs hallucinate and why this matters in security
Temperature and controlling output randomness

The Core Flow:
Text → Tokens → Transformer + Attention → Next Token Prediction → Output

By the end, you'll have the LLM foundation needed to build AI security tools, RAG systems, AI agents and LLM security workflows.

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