Whether you are a researcher, an engineer, an expert in deep learning, or simply eager to learn more about these crucial methods at the core of modern AI, this program is designed for you!
The DLS 2025 prestigious lineup
Prof. Zeynep Akata
Technical University of Munich
Prof. Yulan He
King's College London
Prof. Dan Jurafsky
Stanford University
Prof. Stuart Russell
UC Berkeley
Prof. Mihaela Van der Schaar
University of Cambridge
Hugging Face
Hugging Face @ DLS 2025
Elie Bakouch
Co-leader of SmolLM Team
Nouamane Tazi
Co-leader of Ultra-scale Playbook Team
Practical information
- When?
June 23rd, 2025 to July 4th, 2025
- Where?
Campus SophiaTech, Sophia Antipolis
- Language
English
- Target audience
Engineers, master and doctorate students, researchers
- Pre-requisite
▸ Master of Science
▸ If you do not have strong background and practice in machine learning, you are strongly advised to register to tutorials, additionally to conferences
▸ Being currently employed or seeking a job
Registration
- Corporate registration possible: Contact us at EFELIA.formation@univ-cotedazur.fr
- Want to use your CPF? Contact us at EFELIA.formation@univ-cotedazur.fr
- External companies / Individuals
-
Price per week (tutorials and conferences): 900 €
Price per week (conferences only): 500 €
Register - Partnering companies / Individuals
-
Price per week (tutorials and conferences): 810 €
Price per week (conferences only): 450 €
Register - External academic staff
-
Price per week (tutorials and conferences): 630 €
Price per week (conferences only): 350 €
Register - Academic staff from EFELIA Côte d’Azur consortium
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Price per week (tutorials and conferences): 220 €
Price per week (conferences only): 220 €
Register
Week 1
Tutorials: Monday and Tuesday
Conferences: Wednesday, Thursday, and Friday
Week 2
Tutorials: Monday and Tuesday
Conferences: Wednesday, Thursday, and Friday
Prices include lectures with labs or tutorials with labs for each day.
Detailed program
- Monday, June 23
-
Tutorial and lab: Build your own LLM from Scratch
- Morning: Refresher Pytorch, Multi-Layer Perceptron, Recurrent Neural Network, applied to Natural Language Processing
- Afternoon: Tokenizer, Text embedding, Attention
Speakers: Prof. Frederic Precioso & Team EFELIA Côte d'Azur
- Tuesday, June 24
-
Tutorial and lab: Build your own LLM from Scratch
- Morning: Transformer-Encoder, Attention, Multi-Head Attention
- Afternoon: LLM (Encoder) for Text Classification, for Image + Text classification
Speakers: Prof. Frederic Precioso & Team EFELIA Côte d'Azur
- Wednesday, June 25
-
- Morning
Speaker: Elie Bakouch, Co-leader of SmolLM Team at Hugging Face
Topic: SmolLM, how Small Language Models can compete with LLMs- Afternoon
Speaker: Nouamane Tazi, Co-leader of Ultra-scale Playbook Team at Hugging Face
Topic: The Ultra-Scale Playbook - Training efficiently LLMs on GPU Clusters - Thursday, June 26
-
- Speaker: Prof. Mihaela van der Schaar, University of Cambridge (UK)
- Topic: Machine Learning and Data-centric AI for Healthcare and Medecine
- Friday, June 27
-
- Speaker: Prof. Yulan He, King’s College London (UK)
- Topic: Self-evolution of large language models (LLMs)
- Monday, June 30
-
Tutorial and lab: Build your own LLM from Scratch
- Morning: Transformer-Decoder, Masked Multi-Head Attention, LLM(Decoder) for Text generation
- Afternoon: LLM(Encoder-Decoder), Cross-Attention, for Translation, Summarization
Speakers: Prof. Frederic Precioso & Team EFELIA Côte d'Azur
- Tuesday, July 1st
-
Tutorial and lab: Build your own LLM from Scratch
- Morning: Reinforcement Learning, Reinforcement Learning from Human Feedback (RLHF)
- Afternoon: Use case DeepSeek R1
Speakers: Prof. Frederic Precioso & Team EFELIA Côte d'Azur
- Wednesday, July 2nd
-
- Speaker: Prof. Zeynep Akata, Technical University of Munich (Germany)
- Topic: Vision Language Models and General Knowledge Transfer
- Thursday, July 3rd
-
- Speaker: Prof. Dan Jurafsky, Stanford University (USA)
- Topic: LLMs assessment, Ethics
- Friday, July 4th
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Speaker: Prof. Stuart Russell, University of California at Berkeley (USA)
Topic: From Reinforcement Learning from Human Feedback for LLMs to Assistance Games