Join us for R&D Unplugged #5 with Jean-Marc Sevin
The missing piece of the AI research puzzle
After nearly two years of AI buzz since the public release of ChatGPT and the democratization of Large Language Models (LLMs), what have we learnt about its relevance in real-world use cases? How do we apply this technology efficiently to support learning about the Sustainable Development Goals? And in the meantime, should we shift the AI research agenda to new disciplines in order to better understand how LLMs work their supposable magic?
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More about the speaker
Jean-Marc Sevin is a senior data scientist at 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.
R&D Unplugged is organized by the Research Unit Learning Transitions. For more details about the format of R&D Unplugged, along with information on past and upcoming events, please visit our website.