🚀 NEW VIDEO — HOW LLMs GENERATE TEXT
What happens inside an AI after you submit a prompt?
In Lesson 2 of AI Security 101, we explain:
🧩 What tokens are
🧠 How attention and embeddings work
⚙️ What model parameters represent
📊 How an LLM predicts its next token
🎲 Greedy decoding vs sampling
🌡 Temperature and top-p
🔐 Why the generation pipeline matters for AI security
This lesson gives you the foundation needed to understand prompt injection, jailbreaks, and practical LLM security.
🎬 Watch now:
https://youtu.be/uTOZLk3tIhg
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AI Security 101- How LLMs Generate Text: Tokens, Attention & Sampling
How does a large language model turn your prompt into a complete response?
In Lesson 2 of the InfoSecTube AI Security 101 series, we follow text through the LLM generation pipeline—from tokenization and embeddings to attention, output probabilities, temperature…
2July 18, 2026 257 3
