Objectives

Since the release of ChatGPT and Midjourney, businesses have understood that generative AIs can transform their businesses and improve their performance in an exceptional way.

The main objective of this training is to equip participants with the knowledge needed to understand :

How do generative AIs work
how these generative AIs can be integrated into IT solutions through concrete use cases
What are the legal and ethical issues associated with the use of such technologies

5

maximum number of people

4 hours

of training courses

French

as the main language

Prerequisites

No prerequisites for specific knowledge on Artificial Intelligence.

Target audience

Managers, business functions wishing to create value on the company's products/processes/services by using computer solutions based on generative text AI such as ChatGPT.

Educational resources

The training alternates between theoretical contributions and participatory sessions with illustration by concrete cases (business use cases) or demonstrations of AI solutions.

Instructor profiles

Optimiser la façon d’utiliser les ressources pour créer le plus de valeur possible.

Training program

Introducing generative AIs

Generative AIs vs Classic AIs
Generative AI models
GAN
- Architecture
- Training constraints
- Apps
Delivery models (Dall-E, Midjourney, etc.)
- Architecture
- Training constraints
- Apps
Transformers
- Architecture
- Attention mechanism
- Training constraints
- Apps

The added value of generative AIs in business

List of key use cases using generative AI-based solutions
Brainstorming activity on the use of generative AIs

LLM, text-generative AI

Overview of available LLM solutions
- The big players (OpenAI, Google, Meta...)
- The most used models
- Advantages and disadvantages of these solutions
Customizing an LLM, theory and practical cases on ChatGPT and Dragon©
- Fine tuning
- Prompt Engineering
  - Roleplay
  - Chain of Thoughts
  - Zero/Few-shots learning
- RAG
  - Without and with document (recent press article)

Legal and ethical issues related to generative AIs

Generative data and AI
Legal and ethical challenges encountered in generative AI.
Introduction to the IA Act

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