​Topic

​Join us for an exciting session by the Tokyo AI (TAI) community, Applied ML & AI sub-group. This time, we'll have a deep dive into the latest in AI innovation with three expert-led talks.

​Our Community

​​​​Tokyo AI (TAI) is a community composed of people based in Tokyo and working with, studying, or investing in AI. We are engineers, product managers, entrepreneurs, academics, and investors intending to build a strong “AI coreˮ in Tokyo. Find more in our overview: https://bit.ly/tai_overview

​Agenda

​1/ From Text to Talk: Integrating Real-Time Voice into LLM Applications (Martin Amps)

​Learn how to add real-time voice capabilities to text-based LLMs, enabling more natural and interactive AI systems.

​2/ How to Pick a Vector DB for Your Project (Michael Makarov)

​Get insights into selecting the right vector database for your AI needs, focusing on scalability, performance, and integration.

​3/ Accelerating Learning with LLMs as Universal Domain Translators (Mohamed A. Haggag)

​How Large Language Models (LLMs) act as "universal domain translators" to enhance human learning across different fields. By converting concepts from a familiar domain into analogous ideas in a new, unfamiliar domain, LLMs help individuals leverage their existing knowledge to grasp new topics more effectively.

​Organizers

​Michael Makarov: A tech industry veteran with over a decade of experience, Michael built an enterprise startup from scratch and contributed to major tech companies Google and Twitter, developing software used by millions of people. Michael also speaks Japanese, which he learned 20 years ago.

​​Ilya Kulyatin: Fintech and AI entrepreneur with work and academic experience in the US, Netherlands, Singapore, UK, and Japan, with an MSc in Machine Learning from UCL.