📄️ What is AI?
Artificial Intelligence (AI) refers to computer systems capable of performing tasks that typically require human intelligence. This includes things like recognising speech, translation, making decisions, and creating new content, such as text or images.
📄️ Machine Learning (ML)
Machine Learning is a technique where algorithms learn from data to make predictions or decisions without being explicitly programmed for every possible scenario.
📄️ Deep Learning (DL)
One particularly powerful form of machine learning is Deep Learning, which uses artificial neural networks with many layers.
📄️ Transformer Models
A major breakthrough in Deep Learning came with Transformer Models. This breakthrough is why AI suddenly got so good at understanding and generating human-like text.
📄️ Large Language Models (LLMs)
Large Language Models are a type of transformer model — a neural network architecture designed to handle sequences of text and learn context by paying attention to the relationships between words.
📄️ Reflection 1
🧠 Time to put on the thinking cap
📄️ How LLMs are Trained
Training LLMs involves:
📄️ How LLMs Work
At their core, LLMs are statistical prediction engines.
📄️ Reflection 2
🧠 A quick checkpoint.
📄️ Interacting with LLMs
When you type a prompt:
📄️ AI Ecosystem for Teachers
Since 2022, AI tools have exploded across different areas that matter to educators. Below are some popular ones.
📄️ Ethics and Bias
Even at this early stage, it's important to note:
📄️ Reflect & Apply
🧠 Time to wrap up the module.
📄️ ✅ AI Fundamentals
You should now be able to: