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dotAI 2024
dotAI 2024
October 17, 2024
Discover the 23 talks of this edition.
Maxim Zaks - Is Mojo programming language just a hype?
Pierre Stock - The future of Edge Agents
Gael Varoquaux - Skrub: Less data wrangling, more machine learning
Neil Zeghidour - Multimodal language models
Steeve Morin - ZML: ML framework for Zig
Stanislas Polu - LLMs reasoning and agentic capabilities over time
Meryem Arik - Getting LLMs to do what you want: Output controllers
Romain Huet and Katia Gil Guzman - Building with OpenAI: What's Ahead
Ines Montani - Reality is not an end-to-end prediction problem
Yann Léger - Serverless inferencing: an infrastructure point of view
Marcin Detyniecki - Can AI design a fairer future?
Ori Pekelman - AI deployment strategies: balancing efficiency and environmental impact
Eliot Andres - Training a foundation image model and deploying it to millions of users
Marjolaine Grondin - AI is your personal co-founder
Grigorij Dudnik - Multi-agent collaboration in practice: make AI code an app for you
Dr Laure Seugé and Arthur Talpaert - More empathy and health data protection in AI
Merve Noyan - Gain full control of your apps with Open-Source AI
Armand Joulin - Improving open language models at a practical size
Daniel Phiri - Crossing the multimodal chasm
Johannes Dienst - The RAod to intent-driven automation
Audrey Roy Greenfeld - Rethinking AI: Building What Matters, Not Just What's Possible
Sri Satish Ambati - Democratizing AI with Open Source Multi-Agent Systems
Clara Chappaz - Message from the Secretary of State for AI and Digital Affairs
