GenAI School Overview

Webpage: GenAI School

Lecture Slides

Lecture 1: Introduction to Generative AI

• Title: 21OCT_gen_ai_genbasic_I_Alasdair_Newson.pdf
• Speaker: Alasdair Newson
• Content: VAE GAN Diffusion Model

Lecture 2: Denoising Diffusion Models

• Title: 21OCT_Score_based_denoising_diffusion_An_introduction_ERIC_Moulines.pdf
• Speaker: Eric Moulines
• Content: Bayesian Inverse Problem with Denoising Diffusion Model Priors

Lecture 3: Reinforcement Learning from Human Feedback

• Title: 22OCT_Reinforcement_learning_from_human_feedback_tutorial_Yunhao_Tang.pdf
• Speaker: Yunhao Tang
• Content: RHLF (Reinforcement Learning from Human Feedback)

Lecture 4: Training Large Language Models (LLMs)

• Title: 22OctHow_to_train_a_LLM_in_2024_Manuel_Faysse.pdf
• Speaker: Manuel Faysse
• Content: Introduction to LLMs, Architecture, Training Data, Evaluation, and Applications (CroissantLLM)

Lecture 5: GenAI for Audio-Visual Processing

• Title: 23OCTGenAI-for_audio-visual_processing_XavierAlamedaPineda.pdf
• Speaker: Xavier Alameda-Pineda
• Content: Kullback-Leibler Divergence, Deep VAEs, STFT, and Unsupervised Probabilistic SE

Lecture 6: Challenges and Opportunities in GenAI

• Title: 23OCT_GENAI-Challenges_and_Opportunities-Debbah.pdf
• Speaker: Prof. Merouane Debbah
• Content: 6G, NLP Development

Lecture 7: Physics-Informed Machine Learning

• Title: CT_PIKL_GenAI_school_Claire_Boyer.pdf
• Speaker: Prof. Claire Boyer
• Content: A Primer on Physics-Informed ML

Lecture 8: Impact of AI

• Title: 24Oct_IAimpactDenis_Trystram.pdf
• Speaker: Prof. Denis Trystram
• Content: [Content Not Provided]

Lecture 9: Story-Level Multimodal Generative AI

• Title: 25OCTStory-level_multimodal_generative_AI_Vicky_Kalogeiton.pdf
• Speaker: Prof. Vicky Kalogeiton
• Content: [Content Not Provided]

Lecture 10: LLM Reasoning from Lab to Real World

• Title: 25OctLLM_Reasoning_from_the_Lab_to_the_Real_Worldgenai_epfl.pdf
• Speaker: [Content Not Provided]

Lab Sessions

• Xavier Alameda-Pineda - Inria, University Grenoble Alpes
• Antoine Bosselut - EPFL
• Claire Boyer - LMO, Université Paris-Saclay
• Merouane Debbah - Khalifa University
• Manuel Faysse - CentraleSupélec, Université Paris-Saclay/Illuin Technology
• Vicky Kalogeiton - LIX, IPP
• Eric Moulines - Ecole Polytechnique
• Claire Monteleoni - University of Colorado Boulder/INRIA
• Alasdair Newson - Sorbonne Université
• Gaël Richard - IPP/Télécom Paris
• Yunhao (Robin) Tang - Meta GenAI London
• Denis Trystam - Grenoble INP