Description
Introduction
Generative AI (GenAI) and Large Language Models (LLMs) have transformed the field of artificial intelligence—both in terms of their applicability to real-world problems and their accessibility to a wider audience.
In this course, we’ll explore what artificial intelligence really is: its capabilities, its limitations, and its impact on our world. We’ll take a brief look at its historical evolution and discover how large language models (LLMs) are making AI more accessible and useful than ever before.
Programme
Introduction
General course overview, objectives, and the importance of understanding artificial intelligence today
Simple definition, key milestones and major developments in the history of AI
Introduction to machine learning with a simple overview of fundamental mathematical concepts
Definition and role of large language models (LLMs) in AI
LLMs
General presentation of LLMs
Simplified explanation of how LLMs work internally
Technical limitations and risks associated with language models
Application potential of LLMs across various professional fields
Introduction to generative AI, its capabilities, and uses
Reasoning models used to improve AI response quality
Concept of autonomous AI agents and their possible functions
Overview of artificial general intelligence and future challenges
Practical exercises to apply the learned concepts
Ethical use
Ethical principles to follow when using AI, including data privacy
Practical advice for responsible and effective AI use
Discussion on the potential for generative AI to replace human tasks
Objectives
By the end of the training, participants will be able to:
Understand what AI is and how it developed since the middle of the 20th century
Understand what LLMs and GenAI are and why they make AI more applicable and accessible
Understand the limitations and drawbacks of AI
Understand the potential of AI, which tasks it can replace or aid with, and which tasks are beyond its reach
Obtain basic AI fluency
Target audience
This introductory course is intended for a broad audience interested in deepening their understanding of contemporary AI technologies.
Conditions
Course Material
The training material will be handed out at the beginning of the course.
Location
L-1615 Luxembourg
Luxembourg