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LLM training
Pretraining data, scaling laws, synthetic data, RL from execution feedback, distillation and post-training systems built for production models.

3rd Paris edition · Registration now open
The “NeurIPS” for AI engineers. 3rd edition.
The conference for AI management from training to production, and the agent engineering discipline that turns frontier models into dependable systems. The 3rd GenerationAI in Paris, and the 18th worldwide.
Location
CNIT Forest, Paris
Date
December 1-2, 2026
Edition
3rd Paris · 18th worldwide
3
Paris edition
18
worldwide
80+
speakers
2000+
attendees
8
research tracks
3rd Paris edition // Applied AI
For its 3rd Paris edition, GenerationAI connects model research to the systems discipline required to operate intelligent products in the real world.

3rd Paris edition // Featured speakers
From open-weight robotics and web-scale crawling to AI governance, HPC infrastructure, and production systems.

Hugo Duminil-Copin
Fields Medalist
IHES

Simon Frieder
AIMO (AI Mathematical Olympiad) Prize Manager
AIMO Prize

Remi Cadene, PhD
CEO

Steven Palma Morera
Tech Lead LeRobot

Thom Vaughan
Principal Engineer

Simen Yang
Member of Technical Staff
OpenAI

Paul Emile Brotons
Member of Technical Staff, Applied AI
Anthropic

Hector Gonzales
CEO
spiNNcloud

Jeremie Doucy
CTO
Bayes Impact

Damien Wattez
AI and Innovation Director
SNCF

Victor Schmidt
CEO
Entalpic

Gilles Closet
Global AI Ecosystem Leader

Matthieu Boussard
Co-Founder & VP AI
Craft.AI

Stéphie Herlin
Co-Founder
KORA

Alexandre Gefen
Research Director, author of "A Cultural History of AI"
CNRS

Neil Zeghidour, PhD
CEO

Djalal Benbouzid, PhD
Senior AI Expert

Olivier Debeugny
CEO

Julie Hunter, PhD
Senior Researcher


Stephane Requena
CTO

Jean-Baptiste Kempf
Creator of VLC, CEO

Steeve Morin
CEO


Anastasia Stasenko, PhD
CEO

Marie Paindavoine
CEO
Skyld

Yann Jouanin
CEO and Co-Founder
MCP Apps Builders

Frédéric Barthelet
Co-founder and CTO
Alpic

Romain Dillet
Author and tech journalist

Laurie Soffiati
CEO France
Nabla
Conference theme
Defining the future of API
Will applications call closed frontier APIs, or run open-weight models behind their own endpoints? GenerationAI puts that defining architectural choice at the center of every track, talk and hallway conversation.

Agent engineering core
The experience people supervise. The harness connecting tools, memory and context. The loops that plan, recover and finish the job.
Who is in the room
Every session is presented by the team that produced the result, with the methodology on the slide.
3rd Paris edition // 8 tracks in parallel
01
Pretraining data, scaling laws, synthetic data, RL from execution feedback, distillation and post-training systems built for production models.
02
Designing the human surface of autonomous work: approvals, interruption, legibility, memory, trust calibration and collaborative control.
03
Tool design, sandboxing, permissions, context assembly, observability and the execution layer that turns a model into a reliable system.
04
Control flow for non-deterministic workers: planning, retries, reflection, context compaction, recovery and long-running agent loops.
05
What open-weight releases can now do, where closed frontier models still lead, and how that choice defines the future of the API.
06
Contamination, saturation, agentic task suites and internal evaluations that remain useful through model and harness changes.
07
Serving economics, KV cache strategy, speculative decoding and latency budgets for multi-step, high-concurrency agent workloads.
08
Model Context Protocol servers in production: capability negotiation, authentication and the emerging interoperable tool ecosystem.

Agent systems

LLM training
80+ speakers
Meet researchers building the models, scale-up leaders turning them into fast-growing products, and engineering teams from large enterprises operating AI across complex, high-volume production systems.
Past speakers // The road to edition 03
From frontier labs and open-weight teams to enterprises running AI in production.

Michal Valko
ex-Principal Engineer, Llama team
FAIR, Meta

Thomas Mesnard
Research Scientist (ex-Google DeepMind)
Meta Superintelligence Labs

Andrés Marafioti
Research Lead, Multimodal Models
Hugging Face

Yanis Tevissen
Head of AI Research
MomentsLab

Loubna Ben Allal
Researcher, SmolLM Lead
Hugging Face

Mehdi Ghissassi
CTO (ex-Google DeepMind)
AI71

Djalal Benbouzid, PhD
AI Governance
Volkswagen

Vincent Gonguet
Head of Product, GenAI Llama Safety
Meta

Sai Prasad Veluru
AI Engineer
Apple

Rahul Raja
Staff Software AI Engineer

Daniel Vahos
AI Engineer
Valeo

Lê Nguyên Hoang
Researcher & Professor, AI Cybersecurity, author and YouTuber
Tournesol

Wassim Bouaziz, PhD
AI Researcher
Meta

Lelio Renard
Head of Engineering
Mistral

Romain Huet
Head of Developer Experience
OpenAI

Neil Zeghidour
CEO
Gradium

Jean-Baptiste Kempf
Creator of VLC, CEO
Kyber

Steeve Morin
CEO
ZML

Axelle Arquié
AI and Labor Market Economist
CEPII

Gabriel Hubert
CEO
Dust

Anastasia Stasenko, PhD
CEO
Pleias

Jean-Gabriel Barthélemy
AI Researcher
DragonLLM

Thibaut Veron
Chief of Staff
French Center for AI Safety (CeSIA)

Damien Wattez
Head of AI, TGV
SNCF Voyageurs

Ziv Ilan
AI Startups
NVIDIA

Yann Lechelles
CEO
Probabl

Élisabeth Mouchy
Lead PM AI
Betclic
Past sponsors
From chip makers and cloud platforms to consultancies and applied AI startups: the partners who supported the Paris 2025 edition.






































3rd Paris edition · 18th worldwide · December 1-2, 2026 · CNIT Forest, Paris