·AI Security
Module 12 Lesson 3: Differential Privacy
Privacy through noise. Learn the mathematical foundation of Differential Privacy and how it allows AIs to learn from data without knowing specific individuals.
math
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·AI Security
Module 18 Lesson 1: Membership Inference
Were you in the dataset? Learn the mathematical attacks used to determine if a specific individual's data was used to train a machine learning model.
·Automation
Module 4 Lesson 3: Math in n8n
Numbers don't lie. Learn how to perform calculations, handle currencies, and use the 'Aggregate' nodes to sum up values across multiple items.
·LangChain
Module 6 Lesson 1: What are Embeddings?
The Math of Meaning. How to turn human words into a list of numbers that represent their semantic soul.
·AI & LLMs
Module 10 Lesson 2: Embeddings with Local Models
Turning words into math. Understanding the 'Embeddings' that power local semantic search.
·AI & LLMs
Module 11 Lesson 2: LoRA and Adapter-Based Training
Efficiency is key. How Low-Rank Adaptation (LoRA) allows us to train 8B models without a supercomputer.
·AI & LLMs
Module 4 Lesson 2: Quantization Concepts
Compressing intelligence. How we fit 100GB models into 5GB files without making them stupid.
·Programming
Lesson 6: Operators and Expressions
Master the tools of logic and math in Python, from addition and subtraction to complex comparisons.