Can Europe compete in the AI race dominated by the US and China?

The United States dominates the AI industry, and China is investing billions to close the gap. So where does that leave Europe?

Professor André Martins joins Dinko and Nikhil to discuss Euro-LLM, an ambitious initiative to build an open and transparent large language model designed for Europe's linguistic and cultural diversity. Building AI at a continental scale brings unexpected challenges, including a hidden cost: the 'tokenization tax'.

• Understand why multilingual AI is so hard: It's far harder than most people realize, yet Europe's language diversity is also an opportunity.
• Spot the hidden 'tokenization tax': It affects most LLMs, and new approaches may help reduce it.
• Rethink Europe's place in the AI race: Europe is a solid competitor, and why it needs technological independence.
• Balance regulation and innovation: How constraints can drive innovation, and why AI development in Europe is urgent.
• Put Euro-LLM to work: How Euro-LLM can be integrated in European industries.

Dinko and Nikhil talk with Professor André Martins about bridging academia and industry, building multilingual models, optimizing language models for cultural nuance and navigating the geopolitics of AI. A deep dive for anyone following European AI and large language models, ending with the most creative invention of all time.