Jean-Francois Puget

Jean-Francois Puget has a PhD in machine learning. He is both a director and an individual contributor at NVIDIA. He and his team are advancing agentic AI for machine learning, data science, and other scientific domains. They also showcase NVIDIA tools and expertise in Kaggle competitions. He is one of the top Kaggle competition grandmasters.
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Posts by Jean-Francois Puget

Agentic AI / Generative AI

NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents

A frontier language model is only one component of an AI agent. The surrounding agent system—often called a harness—determines how the model receives... 10 MIN READ
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Agentic AI / Generative AI

Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator

AI agents are only as effective as the context they receive. Even with capable models and well-documented NVIDIA libraries, agents can spend extra steps finding... 8 MIN READ
Agentic AI / Generative AI

Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning

The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when... 11 MIN READ
Data Science

Competition and Community Insights from NVIDIA’s Kaggle Grandmasters

In this post, we summarize questions and answers from GTC sessions with NVIDIA’s Kaggle Grandmaster team.  Additionally, we answer audience questions we... 11 MIN READ
Data Science

How to Build a Winning Deep Learning Powered Recommender System-Part 3

Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video streaming.... 21 MIN READ