This presentation introduces a powerful Multilingual Climate Chatbot, designed to bridge the gap in climate education for all Torontonians, especially youth and marginalized communities. Built on advanced Retrieval-Augmented Generation (RAG) architecture, this chatbot uses fine-tuned embedding models and hybrid search to cut through the disjointed, jargon-heavy climate information that currently limits engagement and creates barriers.
Speakers
Helena yu
Helena Yu is a dedicated data and AI expert with over five years of experience leading cross-functional teams to create impactful AI/ML solutions across diverse industries, including technology, finance, insurance, retail, telecommunications, and the nonprofit sector. She excels at building strategic partnerships with academic institutions, technology companies, governments, and nonprofit organizations, bringing cutting-edge research into practical, real-world applications.
Luis ticas
Luis Ticas is a seasoned analytics professor and consultant with a passion for generative AI, specializing in Retrieval-Augmented Generation (RAG) systems and multilingual chatbots. He holds a Master's degree and a certification as a Generative AI Engineer from Databricks, with a track record of successful projects in climate resilience, data analytics, and AI-powered solutions.
Maryam tavakoli
Maryam Tavakoli is a Senior Data Scientist, ML/AI Engineer, with a PhD in Physics.