Generative Artificial Intelligences and LLMs

Introduction

• General course overview, objectives, and the importance of understanding artificial intelligence today.

• Simple definition and 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 in AI.
  

LLMs

• General presentation of LLMs.

• Simplified explanation of the internal workings of LLMs.

• Technical limitations and risks associated with language models.

• Application potential of LLMs in 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 A and data privacy.

• Practical advice for responsible and effective AI use.

• Discussion on the potential for generative AI to replace human tasks.
  

Generative AI (GenAI) and Large Language Models (LLMs) have transformed the AI field both in its applicability to problems and its accessibility to the wider population.

In this course, we’ll explore what artificial intelligence really is—its capabilities, its limitations, and the impact it has 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.

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

This introductory course is intended for a broad audience interested in deepening their understanding of contemporary AI technologies.