Brainpower Meets Machine Power: Chat-GPT synergies with social scientists

Programme

• 9:00 Session introduction - G. Ferrari, B. Garnier, A. Bringé (Ined) 
• 9:20 The origins of Large Language models: an historical perspective on computational language modeling - Benoît Crabbé (Paris Cité University)
• 10:05 Let’s explore Transformer together - Kamel Smaïli (Lorraine University- Loria)
• Coffee break
• 11:05 From GPT to ChatGPT: General Principles and Issues Raised by OpenAI’s Large Language Models - Didier Schwab (Grenoble Alpes University)
• 11:50 Integrating environmental impact of AI in a data center - Paul Gay (Pau University and Paris-Saclay University)
• 12:35 Discussion and conclusion - E. Dagorn (Ined)