🚀 New Video: AI Security 101 — Neural Networks & LLMs
Before learning how to hack or secure AI systems, you need to understand how they actually work.
In this video, you’ll learn:
🧠 How neural networks learn
⚖️ What weights and biases do
🔄 How backpropagation works
🤖 How large language models predict text
🏗 Encoder, decoder, and encoder-decoder architectures
🔐 Why these concepts matter for AI security
This is the first step toward understanding prompt injection, hallucinations, LLM vulnerabilities, and AI agents.
🎬 Watch now: Link
🎯@InfoSecTube
📌YouTube channel
🎁Boost Us
#InfoSecTube #infosec_tube #AISecurity #LLMSecurity #NeuralNetworks #LargeLanguageModels #Cybersecurity #MachineLearning #ArtificialIntelligence
Before learning how to hack or secure AI systems, you need to understand how they actually work.
In this video, you’ll learn:
🧠 How neural networks learn
⚖️ What weights and biases do
🔄 How backpropagation works
🤖 How large language models predict text
🏗 Encoder, decoder, and encoder-decoder architectures
🔐 Why these concepts matter for AI security
This is the first step toward understanding prompt injection, hallucinations, LLM vulnerabilities, and AI agents.
🎬 Watch now: Link
🎯@InfoSecTube
📌YouTube channel
🎁Boost Us
#InfoSecTube #infosec_tube #AISecurity #LLMSecurity #NeuralNetworks #LargeLanguageModels #Cybersecurity #MachineLearning #ArtificialIntelligence
YouTube
AI Security 101: Neural Networks & LLMs Explained
AI security starts with understanding how AI systems learn.
In the first lesson of the InfoSecTube AI Security mini-course, we break down neural networks and large language models from the ground up. This beginner-friendly introduction explains the concepts…
In the first lesson of the InfoSecTube AI Security mini-course, we break down neural networks and large language models from the ground up. This beginner-friendly introduction explains the concepts…
👍1
🚀 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
🎯 @InfoSecTube
📌 YouTube Channel: Link
📢 Telegram Channel:
https://t.me/InfoSecTube
🎁 Boost InfoSecTube:
https://t.me/boost/infosectube
#AISecurity #LLMSecurity #LargeLanguageModels #Cybersecurity #InfoSecTube #infosec_tube
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
🎯 @InfoSecTube
📌 YouTube Channel: Link
📢 Telegram Channel:
https://t.me/InfoSecTube
🎁 Boost InfoSecTube:
https://t.me/boost/infosectube
#AISecurity #LLMSecurity #LargeLanguageModels #Cybersecurity #InfoSecTube #infosec_tube
YouTube
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…
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…
❤2