Introduction

Estimated time: 12 minutes

Overview

Questions

Objectives

• Describe the AI landscape and how key terms (AI, machine learning, deep learning, LLMs) relate to one another.
• Explain in plain language how machine learning models learn from data.
• Describe what a neural network is and why “deep” learning is powerful.
• Explain how large language models (LLMs) work at a conceptual level.
• Critically evaluate claims about AI capabilities and limitations in a research context.
• Identify potential use cases and ethical considerations for AI in their own research.