R&D Unplugged – The missing piece of the AI research puzzle, with Jean-Marc Sevin

The missing piece of the AI research puzzle

Nearly two years after the public release of ChatGPT and the widespread adoption of Large Language Models (LLMs), what have we learned about their relevance in real-world applications? In this episode, we’re joined by Jean-Marc Sevin, a senior data scientist at the Learning Planet Institute, to tackle some of today’s most pressing questions: How can we effectively apply this technology to support learning around the Sustainable Development Goals? And should we shift the AI research agenda toward new disciplines to better understand the so-called magic behind LLMs?

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More ion the speaker

Jean-Marc Sevin is a senior data scientist at the Learning Planet Institute. He’s part of the R&D department and the Learning Transitions Research Unit. He mainly works on developing WeLearn, an AI platform to help people learn about planetary transitions. He holds a postgraduate diploma in Big Data from Télécom Paris and is an expert in machine learning, distributed processing and data visualization. Prior to this, he accumulated over 15 years’ experience in the web industry with major French players such as Chanel and Orange, where he held positions as project manager, webmarketing consultant and developer.